OHDSI Home | Forums | Wiki | Github

Professional opportunities available within the OHDSI community

General
#13

The faculty of Medicine and Life Sciences, research institute Biomedical Research Institute of Hasselt University (Belgium) is looking for a PhD student health data sciences and informatics.

Background
This interdisci plinary research project is a collaboration between the faculty of Medicine and Life Sciences, Biomedical Research Institute, UHasselt and the faculty of Engineering Technology, Stadius Centre for
Dynamical Systems, Signal Processing and Data Analytics, KU Leuven. This project is part of ELIXIR (human health, ELIXIR Belgium). ELIXIR is an ESFRI Research Infrastructure and e-infrastructure project. ELIXIR includes 20 countries covering more than 180 research organisation all over Europe. The Belgian ELIXIR Node is led by VIB and its partners are the universities of Ghent, Leuven, Antwerp, Brussels, Hasselt and Liège. The infrastructure developed in this project will be one of the key services supported by the Belgian ELIXIR Node. Next to this, this project is embedded in an international project referred to as the MS Data Alliance (MSDA) project. The MSDA joins registry custodians (>20 registries, >300.000 patients), patients societies (>30 countries), MS umbrella organisations and regulatory decisionmaking.

Job content
You will get th e opportunity to help us realise our mission: striving towards a next generation of management
of chronic disease, with a specific interest in the neurodegenerative disease multiple sclerosis (MS).
You are responsible to develop and implement the “Multiple Sclerosis Data Alliance (MSDA) cohort ex plorer”.
The MSDA cohort explorer enables searching aggregated data across different MS registries and cohorts after
data is mapped to a harmonized data template. The subject and variable selection tools in the MSDA cohort
explorer allow end-users to identify MS data cohorts suitable for their (research-) questions and facilitates the
initiation of (new) collaborations with these MS cohorts. You will leverage the knowledge gained in innovative
medicine initiative projects like the European Medical Information Framework, the European Health Data and
Evidence Network, Electronical Health Records for Clinical Research and Big Data for Better Outcomes. In a
next phase, you are responsible to innovate the infrastructure and make it fit-for-purpose for privacypreserved
machine learning algorithms.

Profile
You obtained a master degree in computer science, informatics or engineering (or equivalent)
Final-year students are (likewise) encouraged to apply.
You show a significant enthusiasm for, and knowledge i n medical informatics and data infrastructures.
Mention in your motivation letter previous experience with developing and implementing IT
infrastructures, especially in the medical field.
You are stress resistant and able to persevere in a competitive environment in which you adhere to
deadlines.
You have a strong interest in working on supporting medical applications of machine learning
algorithms.
You are able to communicate adequately to different targets audiences in the interdisciplinary team
(neurologists, biomedics, patient organizations, …).
You are motivated, curious and creative.
You have excellent oral and written communication skills in English.
You are able to communicate about your work at local and international congresses and to people from
other disciplines.
To guarantee the progress of this project, you are available in the short term.

You will be working at the campus Diepenbeek (BIOMED, UHasselt), as well as at the campus Arenberg
in Leuven (STADIUS, KULeuven). You show the necessary flexibility in your working location.

Offer
You will be appointed and paid as PhD student.
We offer full-time employment for a PhD-resear cher. The appointment will be for a period of 2 years and will beextended for another 2 years after positive evaluation.

Selection procedure
You can only apply online up to and including 22 March 2019.
The selection procedure consists of a preselection based on application file and an interview.
Please attach a motivation letter to your application file.
Contact: Liesbet.peeters@uhasselt.be

#14

My Knowledge Management team at the Division of Health Informatics, Memorial Sloan Kettering Cancer Center, is hiring:

Sr Data Analyst

https://externaltalent-mskcc.icims.com/jobs/29639/senior-data-analyst/job?mode=view

Sr Informatics Developer

https://externaltalent-mskcc.icims.com/jobs/30930/sr.-informatics-developer/job?mode=view

Informatics Business Systems Analyst

https://externaltalent-mskcc.icims.com/jobs/30931/informatics-business-systems-analyst/job?mode=view

2 Likes
#15

Manager, Epidemiology Analytics

Janssen Research & Development, LLC, a member of the Johnson & Johnson Family of Companies, is recruiting for the role of Manager in Epidemiology Analytics. For this role, you have the choice of working in Titusville NJ, Raritan NJ, or remotely anywhere in the US. At the Janssen Pharmaceutical Companies of Johnson & Johnson, what matters most is helping people live full and healthy lives. We focus on treating, curing and preventing some of the most devastating and complex diseases of our time. And we pursue the most promising science, wherever it might be found. Janssen Research & Development, LLC discovers and develops innovative medical solutions to address important unmet medical needs in oncology, immunology, neuroscience, infectious diseases and vaccines, and cardiovascular and metabolic diseases. Please visit http://www.janssenrnd.com/ for more information. We are Janssen. Our mission drives us. Our patients inspire us. We collaborate with the world for the health of everyone in it. Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Proud to be an equal opportunity employer. Your primary role in this position is as an active Epidemiology Analytics colleague. We in Epidemiology Analytics supports the Janssen organization, and others within Johnson & Johnson by generating and disseminating real-world evidence about disease, health service utilization, and the effects of medical products through the analysis of healthcare data. You would also have the opportunity to engage with the broader international research community to establish and promote the appropriate use of observational data by conducting methodological research, developing standardized analytics tools and demonstrating successful applications to important clinical questions. Your position will be specifically part of the Clinical Intelligence Applications function, a team responsible for ensuring the successful delivery of observational analyses for clinical characterization, population-level effect estimation, and patient-level prediction to meet the needs of Johnson & Johnsons scientific and business functions. Are you passionate about a role that executes safety and epidemiological research for Janssen as well as participates and develop best in class research practices on observational data?
This role provides those opportunities.
• You will provide technical support for the data and analysis infrastructure and provide scientific support for conducting observational research in collaboration with epidemiologists and product teams. Additionally, you will support in dissemination of scientific information through technical reports and publications in peer-reviewed literature.
• You will work closely with colleagues within the department, in Global Medical Safety, and across Janssen.
• You will lead and contribute to the design of observational database analysis, including authoring protocol and analysis plan.
• You will also lead and contribute to the execution of observational database analyses by using standardized analytical tools and writing statistical programs against internal and external observational data resources.
• Lead and contribute to the synthesis of evidence from observational database analyses with other evidence to inform medical decision-making, including authoring publications and presentations.

Apply today: https://jobs.jnj.com/jobs/7927181116?lang=en-us

#16

The Children’s Hospital of Philadelphia (CHOP) Research Institute is recruiting a team to build a data and informatics program called “Arcus” that links clinical and biological data and provides world-class computational tools to solve the most challenging problems in child health. Recognizing the central role of data to the future of pediatric research, CHOP leadership and the Board of Trustees committed to a funding plan, and Arcus was launched in July 2017. The Arcus team integrates with major scientific initiatives in the Research Institute Strategic Plan: Lifespan, Rare Diseases, Novel Devices and Therapeutics, and Precision Health. We seek mission-oriented professionals with interest and expertise in the areas of biomedical science, library science, data education, data science, cloud computing, data privacy, and security. The amount and complexity of the data, especially those associated with genomic experiments, will demand careful attention to details of the underlying data model and may result in large schema changes or mapping.

•Will collaborate on defining the structure and content of the data model for the clinical data available in the Arcus platform.
•Will implement and maintain CHOP OMOP instances in Arcus
•Will maintain clinical metadata and ensure that it is in accordance with the master metadata standards defined by the Metadata Librarian team
•Will efficiently manipulate large-scale and complex data sets using a variety of formatting and/or analysis languages such as Perl, Python, and Java.
•Will generally extract and transform data from a variety of clinical and supporting non-clinical data sources to enable research and quality improvement initiatives leading to research across a rapidly evolving academic research enterprise.
•Understands data validation, loading, and structures at an intermediate level.
•Efficiently manipulates large-scale and complex data sets using a variety of formatting and/or analysis languages such as Perl, Python, and Java.
•The amount and complexity of the data, especially those associated with genomic experiments, will demand careful attention to details of the underlying data model and may result in large schema changes or mapping.

Apply here: https://careers.chop.edu/job/Philadelphia-Information-Analyst-III-PA-19146/608610400/?locale=en_US

1 Like
#17

DATA SCIENTIST/STATISTICIAN P95

About P95
P95 is a scientific services providing company dedicated to epidemiology, pharmaco-epidemiology and statistics with a focus on vaccines and infectious diseases. P95 is based in Belgium with people working from different places, mainly Europe (Belgium, Netherlands, Germany, Spain, Denmark, UK). Visit us at www.p-95.com

Job description
As data scientist/statistician you will work with and support a team of epidemiologists, data analysts and statisticians to perform the following tasks:

  • Development of machine learning algorithms which can be used in combination with large medical databases
  • Validation of the programs and coding used for data manipulation and analysis
  • Being involved in writing of protocols and statistical analysis plans, methods development, conduct of simulation studies and statistical/mathematical modelling studies
  • Contributing to the development of scientific publications based on the analyses and study results Writing statistical analysis plans and conducting the statistical analyses for epidemiological and pharmaco-epidemiological studies

Your tasks will be matched to your experience, skills and interests.

Desired skills and experience

  • You have at minimum a Master’s degree in statistics, data science, or computer science or you have equivalent professional experience
  • You have experience with statistics and the use of supervised learning methods. Additionally, you have a working knowledge of statistical software (preferably R, python, or SAS)
  • Previous experience in working with large databases and knowledge of database specific languages such as SQL will be considered a plus.
  • You can think analytically and you have good communication skills so that you can summarize analytical insights clearly
  • You can work independently and yet be a team player too
  • English professional speaking and writing are required
  • Having working experience as a data scientist or statistician and having a PhD are assets
  • Proven interest in infectious diseases and in epidemiology are assets
  • Having authored several scientific papers is an asset

What we offer
The opportunity to work in a dynamic team on a project basis with ample room for professional development. We offer you an attractive salary package.

Location: All P95 employees work from home, setting their own time schedule, based on a “getting the job done” mentality.

Position: full-time, although this is open for discussion.

Apply before January 15, 2020
Kaatje Bollaerts: Tel + 32 - (0)485/78.96.57, kaatje.bollaerts@p-95.com

#18

No word of OHDSI/OMOP, @tomdesmedt? Not abreast with the best approach? :slight_smile:

2 Likes
#19

hi, we have a Director-level position open and and please contact me at wenhui.wei@regeneron.com for this exciting opportunity to join Real World Evidence Scientist team and the best “Biopharma Companies to Work For” for the past 9 years by Science Magazine

#20

Hi all, Janssen Oncology is looking for a cancer epidemiologist to join our team, please reach out if interested:

https://jobs.jnj.com/jobs/9169200220?lang=en-us&previousLocale=en-US

1 Like
#21

Hi all–

USAID is looking for a Senior Health Information Systems Advisor and a Health Information Systems Advisor!

If you have experience in building or managing health information systems or health informatics projects (in resource limited settings or not!) and want to work with our growing team to support health informatics in resource limited countries, please take a look at our posts and consider joining our team. We’re looking for systems skills like infrastructure, privacy, information security, interoperability, applications development, and general health informatics. We’re looking for both mid-career and senior levels.

I would personally love to get staff with OHDSI experience to help me spread the word about the awesome work we do in this community!

Job is based in Washington, DC, and it does require US citizenship and eligibility for a security clearance.

https://careers-camris.icims.com/jobs/4707/health-information-systems-advisor/job?mobile=false&width=1110&height=500&bga=true&needsRedirect=false&jan1offset=-300&jun1offset=-240

https://recruitment.ghstar.org/positionDetail.html?pid=183

#22

Dear OHDSI Community,

At IOMED, we’re looking for a Data Engineer to join our data engineering team. Job description:

About the job

We’re looking for a data engineer to join our data engineering team. IOMED’s products consist of an integrated suite of tools that dramatically simplify the process of clinical research, by structuring clinical data and providing unified and standardized access to it.

The core of your role will be designing, implementing, and testing data extraction and transformation tools on a micro services environment. as well as to collaborate in the development and maintenance of the main products of our company:

  • Data processing pipelines
  • Data model transformations
  • Components of a multi-modal distributed database.

About you

You must have proven skills of putting micro services to use, and you’re comfortable with the containers in a cluster architecture. Also, we are looking for someone who works well in a team, can teach & learn from others, and communicate what you’re working on with non-technical team members.

Things You Might Do

It is important that you feel comfortable adapting and supporting the rest of the team. However, you can definitely expect:

  • Query, model and deploy with PostgreSQL, Redis, RabbitMQ.
  • ETL with SQL and Python.
  • Design, implement & test micro services.
  • Integrate our products with external APIs.
  • Development and testing of our core products and frameworks.
  • Be comfortable with container development with Docker.
  • Testing, logging, measuring, and alerting of the deployed services.

We use OMOP CDM as a data model, so experience with OMOP CDM and OHDSI tools is desirable.

Position location: Barcelona, Spain.

For more information please contact Júlia Collazos (julia.collazos@iomed.es).

Weekly OHDSI Digest-19April2021
#23

OHDSI we are hiring two undergraduate or graduate level summer interns to assist with projects in the Observational Health Data Analytics (OHDA) team within Janssen R&D Epidemiology. Job description below, application deadline May 7th!

Observational Health Data Analytics Intern (Two Openings)

Janssen R&D Epidemiology is hiring two undergraduate or graduate level summer interns.

Location: Remote

The Observational Health Data Analytics (OHDA) Intern will be a member of the Epidemiology team. OHDA supports the Janssen Research and Development organization, and others within the Johnson & Johnson Family of Companies by generating and disseminating real-world evidence about disease, health service utilization, and the effects of medical products through the analysis of healthcare data. OHDA also collaborates with broader international research community to establish and promote best practices in the appropriate use of observational data by conducting methodological research, developing standardized analytics tools through open-source development, and demonstrating successful applications to important clinical questions. The OHDA intern will work under the supervision of one or more senior members of the department.

Ideally, the candidate will commit to 30-40 hours per week for a minimum of 10 weeks (~mid-May through ~mid-August).

Qualifications:

A minimum of enrollment in either an undergraduate or graduate degree in any STEM major (e.g. science, technology, engineering, or mathematics). Experience in statistical programming (e.g. R), database programming (e.g. SQL), and/or application development (e.g. Java, C++/#), and desire to work with large healthcare datasets. Knowledge of medical terminologies (e.g. ICD, NDC, SNOMED, MedDRA, LOINC, CPT) is a plus. Strong written and oral communication skills are required.

If interested in this position, please send your CV with a brief description of your interest to Rupa Makadia (rmakadia@its.jnj.com). Please apply no later than May 7, 2021.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

#JNJInternship

1 Like
Weekly OHDSI Digest-3May2021
#24

OHDSI, we are recruiting for the role of Associate Director in Epidemiology within Janssen R&D. The epidemiologist will support our REWARD initiative and the neuroscience therapeutic area. More details below.

If interested in this position, please apply at the link below and send your CV with a brief description of your interest to Dave Kern (dkern2@its.jnj.com).

Link: https://jobs.jnj.com/jobs/2105936215W?lang=en-us&previousLocale=en-US

Location: Remote or on-site (Titusville, NJ or Raritan, NJ)

Description: This position will be focused on supporting the ‘Real-World Assessment and Research of Drug Performance’ (REWARD) initiative, an ambitious collaborative effort to develop a systematic process for observational database analyses to enable exploration and identification of differentiated benefits of medical products to support R&D’s clinical development strategy. You will also perform pharmacoepidemiology activities to support the neuroscience therapeutic area, including characterizing disease natural history and treatment patterns, safety evaluations, benefit- risk assessments, and patient-level prediction models.

You will become familiar with the published literature related to compounds of interest and relevant observational (real-world) databases accessible to specify analyses, review and interpret study results within the clinical context, present results to the clinical teams, and disseminate scientific information through technical reports and publications in peer-reviewed literature.

The work will require collaboration within epidemiology and across functional units in J&J, and includes:

  1. Leading the evaluation and characterization of observational data for their fitness-for-use to address clinical and safety questions from across the organization
  2. Participation in innovating, evaluating, and establishing scientific best practices around the design and conduct of observational analysis and accompanying processes to ensure the reliability and validity of real-world evidence
  3. Responsible for conducting analysis (using R) for real-world evidence generation and dissemination
  4. Responsible for ensuring the successful delivery of observational analyses for characterization of patient populations and outcomes, safety evaluations, benefit and risk assessments, and patient-level prediction to meet the needs of J&J’s scientific and business functions.

Are you passionate about a role that designs, executes, and interprets epidemiological research for Janssen as well as participates in developing best in class research practices on observational data? This role provides those opportunities.

Key Responsibilities:

  • Identify research study needs, design observational database analyses, including authoring proposals, protocols and analysis plans.
  • Lead and contribute to the execution of observational database analyses by using standardized analytical tools and writing statistical programs against an array of observational data resources.
  • Review and interpret study results from analysis of real-world evidence (RWE) and observational healthcare databases to develop a clinical understanding, present these results to clinical teams, and disseminate scientific information through writing technical reports and peer-reviewed publications.
  • Participate in the design and development of standardized analytics tools, including feedback on use of the front-end user interface and back-end execution engine, to generate and disseminate real-world evidence from a network of observational data.
  • Lead and contribute to the assessment of the safety profile of neuroscience products by leveraging RWE.

Required Qualifications:

  • A PhD in Epidemiology, Biostatistics, Informatics or a closely related field OR MD with training and advanced degree in Epidemiology (MPH, MS) or a closely related field
  • At least 5 years of Epidemiology or related observational health data-based research experience
  • Must have an understanding and the ability to interpret quantitative methods applied to observational data sources
  • Experience with writing protocols in general and particularly the statistical methods sections of study proposals and/or proposal requests is required
  • One (1) year of experience in statistical programming (e.g. R)
  • One (1) year of experience with statistical analysis of large healthcare data sets

Preferred Qualifications:

  • Experience with the statistical analysis and management of administrative claims datasets or electronic health/medical records
  • One (1) year of database programming (e.g. SQL)
  • Strong written and oral communication skills
  • Project management experience

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

#25

@aaveritt recently shared the following opportunity at Regeneron Genetics center:

Senior Manager, Clinical Informatics

Location: Tarrytown, NY, United States Category

Research and Development • Job Id24565BR

Apply Now

The Senior Manager Clinical Informatics will be responsible conducting analyses involving clinical and phenotypic data for genetics studies as well as clinical development and commercial programs. Responsibilities will include developing complex phenotypes as well as curating, cleaning, and analyzing large-scale phenotypic datasets, including de-identified EHR extracts from external collaborators, targeted clinical datasets in selected cohorts, and internal datasets from clinical trials and other human subject research.

A typical day may include:

  • Conducting data analysis, including mining and curating of phenotypic datasets with primary responsibility in developing and identifying complex clinical phenotypes and cohorts of interest for “phenotype first” genomic analysis of associated samples and efficient data mining and association analysis in both phenotype first and genotype first queries.
  • Developing complex phenotypes using advanced analytic approaches (i.e. machine learning, incorporating unstructured data sources using NLP, etc.)
  • Collaboration and coordination with external health system collaborators and informatics teams mining EHR and phenotypic data sets. Work with these collaborators to structure data and develop algorithms, rules engines, and querying tools to access and curate the phenotypic datasets.
  • Functioning as a subject matter expert in quantitative analysis techniques
  • Representing the RGC at external meetings; providing scientific and strategic input to the group

This role may be for you if:

  • You have strong analytical skills
  • You can multitask and manage simultaneous projects to meet deadlines with a strong attention to detail.
  • You are interested in data mining, clinical databases, hospital health informatics databases including Epic or other EHR data structures.
  • You have familiarity with clinical data standards such as ICD, SNOMED, LOINC
  • Have experience with HIPAA and IRB protocols around use of use of EHR data, working with investigators.
  • Possess the ability to interpret and communicate analytical information in a clear, concise manner.
  • You excel at managing relationships and projects involving diverse stakeholders. Ensuring that analyses are executed in a timely, accurate and reliable manner.
  • You communicate findings clearly and document work for training and replication purposes.

To be considered for this role you must possess; a Master’s degree or PhD in Biomedical Informatics, Statistics, Computer Science, Information Science, or other relevant analytical/data field, and a minimum of 3 years of reporting and/or data analysis experience. Healthcare and EHR data analytics experience are also required. Demonstrated knowledge and experience (i.e. presentation or publication) OHDSI standards (OMOP) and tools, quantitative Analytic Methodologies and machine learning to analyze clinical and/or genetic data (presentation or publication). Demonstrated experience with database architecture and administration, including SQL programming. Involvement in relevant programs such as PCORnet, eMERGE, HMO Research Network, or other such projects is preferred.

Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides amazing benefits including health and wellness programs, fitness centers and stock for employees at all levels!

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or maternity status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need.

#26

Are you up to the challenge to help us reduce the impact of cancer? As statistician and clinical data scientist you are responsible for guiding the statistical analyses on data from cancer patients in The Netherlands and internationally, working in multi-disciplinary projects with epidemiologists, developers, analysts, data scientists and clinical informaticians. You will apply your expertise in statistics to generate new insights from the Netherlands Cancer Registry (NCR) and other data on cancer and palliative care. Are you an enthusiastic, creative and result-driven team player? The Netherlands Comprehensive Cancer Organization is recruiting a:

Clinical Data Scientist - Statistician
36 hours/week
Location Eindhoven

You will be working on several projects. One day you will be supporting the Personal Health Train team to conduct meaningful analyses on national and international data, the next you may be advising epidemiologists to predict the burden of cancer in 2030.

Primary Responsibilities

  • perform statistical analyses to model the impact of cancer and provide understanding of outcomes to truly make a positive impact
  • create prototypes and test your ideas with end-users
  • inspire us and contribute to the IKNL roadmap with your ideas
  • engage in international collaborations
  • communicate results and contribute to establishing a world-class innovation team for oncological and palliative care
  • work in a multidisciplinary team with data scientists, analysts, clinical informaticians, software engineers and epidemiologists

Requirements

  • MSc (PhD preferred) with emphasis on (bio)statistics or a directly related discipline
  • a minimum of 3 years working experience
  • comprehensive knowledge of statistical theory and methods
  • advanced knowledge of statistics packages like R or Python (Knowledge of other software such as SAS and STATA is a plus)
  • knowledge of the basic approaches used in clinical research and epidemiology
  • excellent communication skills, ability to interact with professionals with various backgrounds and technical knowledge, and a talent to explain statistical results to the non-statistician
  • enthusiastic, goal-oriented and team player mindset with a genuine passion for improving the quality of healthcare
  • ability to motivate people to help reach your targets

Preferred

  • previous experience in working with oncological data and/or large, individual-level health data sets
  • hands-on experience with reporting tools (e.g. Tableau, RMarkdown, RShiny, Mapbox, etc…)
  • publications in peer reviewed journals and/or abstracts in scientific conferences

W e offer

  • a young, dynamic, and diverse team
  • an inspiring, friendly work environment with a lot of freedom and development opportunities
  • the opportunity to work with an internationally unique data set with records of millions of cancer patients across The Netherlands
  • a challenging and meaningful job within an organization strongly investing in clinical informatics and data science
  • an opportunity to contribute to the improvement of the quality of oncological care in The Netherlands, in Europe and worldwide
  • a position for 1 year, with the possibility to extend
  • the ability to work with many national and international partners
  • terms of employment in accordance with the Collective Agreement for Hospitals (Function Group 65, CAO Ziekenhuizen).

IKNL Netherlands Comprehensive Cancer Organization and the Netherlands Cancer Registry

The main goal of the Netherlands Comprehensive Cancer Organisation (IKNL) is to reduce the impact of cancer, from the personal to the societal level. With the Netherlands Cancer Registry (NCR) as its core activity, IKNL enables health care professionals, researchers, policy makers and others to reflect on cancer and on palliative care. Together with care professionals, researchers, patients, and policy makers we translate data into valuable insights to improve oncological and palliative care.

The Research and Development team

The R&D team consists of experts in the fields of epidemiology, data analysis, software development, clinical data science and clinical informatics. It acts as an incubator for creating new ways generate new insights from distributed, semi-structured data, aimed at application in daily (clinical) practice. In close collaboration with care professionals, patients and scientists, we research applications of prediction and decision support algorithms, anomaly detection and federated learning. We develop FAIR data and knowledge services and a decision support platform to share these insights at the right moment to the right stakeholder at the point of care. The team collaborates closely with stakeholders internally and externally, such as hospitals, universities and international cancer registries.

For more information about the vacancy, you can contact Gijs Geleijnse, Senior Clinical Data Scientist (through his secretary, e-mail address m.rietzschel@iknl.nl) or Chiara Attanasio, Clinical Data Scientist working on the OHDSI efforts at IKNL.

Information about IKNL can be found at www.iknl.nl

#27

Join a world-class benefit-risk group at Janssen R&D!

We are seeking a postdoctoral research associate for benefit-risk, patient preference and epidemiology work in lung cancer.

Apply at link.

This position’s primary responsibilities will be to lead structured benefit-risk assessments and preference studies in lung cancer, and will include epidemiology work as needed.

The overall responsibilities include guiding clinical teams in lung cancer medication/device benefit-risk assessment and applying structured benefit-risk and decision analysis methods throughout the development lifecycle. Standard tools used in this role include benefit-risk frameworks, value trees, effects tables and patient preference studies strong applicants with limited experience in some of these methods can be trained in the role. Applications include leading benefit-risk and preference studies for development strategy, target product profiles, clinical trials, benefit-risk sections of regulatory documents, health authority advisory committee meetings and safety decisions. The Research Associate is also expected to participate in external benefit-risk methodology and policy activities, author publications on their work and present at external meetings.

Epidemiology responsibilities are secondary in this role and may include exploring external electronic, patient-level databases to evaluate disease natural history, clinical and surrogate endpoints, and medication and device safety/benefit-risk questions; literature review and synthesis, assistance of clinical teams with study design and contributing to the planning and conduct of meta-analyses of safety data from ongoing trials and other sources. Work may also include using historical clinical trial data to develop an understanding of potential safety issues for new devices, medications, and indications.

We are looking for a very talented and innovative individual to join our team and grow their expertise and career. The Research Associate will work closely with more senior members of the Benefit-Risk Team and the Lung Cancer Initiative and collaborate with colleagues in other department in performing these responsibilities.

Qualifications

Requirements

  • A PhD in Epidemiology, Biostatistics, Decision Sciences, Health Economics, Public Health or closely related field; will consider an MD in oncology coupled with training and a degree in one of these fields
  • Hands-on experience in applied benefit-risk assessment, patient preference studies, statistical analysis, or epidemiologic analysis
  • Demonstrated excellent interpersonal, verbal and written communication skills, especially experience in presenting technical topics to clinical/medical audiences
  • Self-management skills with a focus on timely completion of competing deliverables and demonstrated problem solving ability

Preferred:

  • Pharmaceutical or Medical Device and Diagnostics industry experience
  • Experience with structured benefit-risk frameworks and current trends in benefit-risk and patient-focused drug development
  • Experience with tabular and graphical displays of benefits and harms
  • Experience in quantitative benefit-risk assessment
  • Experience with patient preference studies (e.g. discrete choice experiments, best-worst scaling)
  • Familiarity with lung cancer or other areas of oncology
  • Experience with writing statistical methods sections of study proposals or statistical analysis plans
  • Publication record or evidence of scholarship in benefit-risk assessment, patient preference studies or related topics
  • Experience with analytical or statistical tools such as SAS, Stata, R, MATLAB, or S-PLUS
  • Demonstrated ability to successfully collaborate with teams
  • Travel will be up to 20% for a candidate located in North America or up to 10% locally in the Titusville, NJ, Raritan, NJ, Horsham, PA or Spring House, PA locations.
#28

Dear Colleagues,

We are excited to announce the posting of full-time tenure-track faculty positions (all levels) at the Rutgers Center for Pharmacoepidemiology and Treatment Science (PETS). The mission of PETS is to advance pharmacoepidemiology and related fields by conducting world-class research and facilitating high-quality training. The job posting and link to the application may be found at

Rutgers University Employment Opportunities | Open Rank Faculty - Instructor, Assistant, Associate or Full Professor - Pharmacoepidemiolgy.

Potential candidates should feel free to reach out to [email](mailto:daniel.horton@rutgers.edu
subject=PETS Faculty Position) or phone (1-848-932-4607).

This was posted by Jesse Berlin (609-694-8394) I’m also happy to talk, but Dan Horton will have much more information and direct experience with the program.

We appreciate your interest and assistance.

Sincerely,

Daniel B. Horton, MD, MSCE

Chair, PETS Search Committee

Assistant Professor of Pediatrics and Epidemiology

Rutgers Robert Wood Johnson Medical School

Rutgers Center for Pharmacoepidemiology and Treatment Science

Rutgers School of Public Health

#29

OHDSI we are hiring two undergraduate or graduate level summer interns to assist with projects in the Observational Health Data Analytics (OHDA) team within Janssen R&D Epidemiology.

Job description below, application deadline March 31st!

Observational Health Data Analytics Intern (Two Openings)

Janssen R&D Epidemiology is hiring two undergraduate or graduate level summer interns.

Location: Remote

The Observational Health Data Analytics (OHDA) Intern will be a member of the Epidemiology team. OHDA supports the Janssen Research and Development organization, and others within the Johnson & Johnson Family of Companies by generating and disseminating real-world evidence about disease, health service utilization, and the effects of medical products through the analysis of healthcare data. OHDA also collaborates with broader international research community to establish and promote best practices in the appropriate use of observational data by conducting methodological research, developing standardized analytics tools through open-source development, and demonstrating successful applications to important clinical questions. The OHDA intern will work under the supervision of one or more senior members of the department.

Ideally, the candidate will commit to 30-40 hours per week for a minimum of 10 weeks (~mid-May through ~mid-August).

Qualifications:

  • Currently enrolled in a Bachelor’s or Graduate degree program in any STEM or health sciences major (e.g. science, technology, engineering, or mathematics, pharmacy, nursing).

  • Experience in statistical programming (e.g. R), database programming (e.g. SQL). and/or application development (e.g. Java, C++/#).

  • Strong written and oral communication skills are required.

  • Minimum GPA 3.0; required to be currently enrolled in school.

If interested in this position, please submit your CV with a brief description of your interest to :

Please apply no later than March 31, 2022.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

#JNJInternship

#30

Hi everyone! Please check out this exciting oppurtunity at Janssen, apply today https://jobs.jnj.com/jobs/2206005052W?lang=en-us&previousLocale=en-US

Manager, Observational Health Data Analytics

Job Description

Janssen Research & Development, L.L.C., a division of Johnson & Johnson’s Family of Companies is recruiting for a Manager, Observational Health Data Analytics. The preferred position location includes Horsham, PA; Titusville, NJ; or Raritan, NJ. Remote work options in the United States may be considered on a case-by-case basis and if approved by the Company.

At the Janssen Pharmaceutical Companies of Johnson & Johnson, we are working to create a world without disease. Transforming lives by finding new and better ways to prevent, intercept, treat and cure disease inspires us. We bring together the best minds and pursue the most promising science. We are Janssen. We collaborate with the world for the health of everyone in it. Learn more at [www.janssen.com] and follow us @JanssenGlobal. Janssen Research & Development, LLC is part of the Janssen Pharmaceutical Companies.

This position is a member of the Observational Health Data Analytics (OHDA) team. OHDA’s mission is to improve the lives of individuals and quality of healthcare by efficiently generating real-world evidence from the world’s observational health data, transparently disseminating evidence-based insights to real-world decision-makers, and objectively advancing the science and technology behind reliable, reproducible real-world analytics.

The OHDA team collaborates with the Epidemiology department, the Janssen Research and Development organization, and others within the Johnson & Johnson Family of Companies on generating and disseminating real-world evidence about disease, health service utilization, and the effects of medical products through the analysis of healthcare data. OHDA collaborates with the broader international research community to establish and promote best practices in the appropriate use of observational data by conducting methodological research, developing standardized analytics tools, and demonstrating successful applications to important clinical questions.

This role will be a member of the team whose primary responsibilities include:

  • Work closely with colleagues within the Epidemiology department.
  • Contribute to the successful delivery of observational analyses for clinical characterization, population-level effect estimation, and patient-level prediction to meet the needs of J&J’s scientific and business functions.
  • Contribute to the design of observational database analysis, including authoring protocol and analysis plans.
  • Contribute to the execution of observational database analyses by using standardized analytical tools and writing statistical programs against internal and external observational data resources.
  • Contribute to innovating, evaluating, and establishing scientific best practices around the design and conduct of observational analysis and accompanying processes to ensure the reliability of real-world evidence.
  • Contribute to the design and development of software and analytical tools that encode scientific best practices into solutions that enable real-world evidence generation and dissemination.
  • Contribute to the development and evolution of scientific and industry standards for observational data harmonization, ensuring their appropriate application across the Johnson & Johnson real-world data ecosystem, and leading the evaluation and characterization of observational data for their fitness-for-use to address clinical questions from across the organization.
  • Contribute to technical support for the data and analysis infrastructure and provide scientific support for conducting observational research in collaboration with epidemiologists and product teams.
  • Be able to work in a matrix environment, engage with external teams and contribute to scientific contributions.

Qualifications

  • A Bachelor’s degree with a minimum of 8 years of overall experience OR a Master’s with 6 years OR PhD is required.
  • At least 2 years of experience in statistical programming (R), or database programming (SQL).
  • At least 1 year of programming against large healthcare data sets.
  • At least 1 year of relevant prior work experience in the healthcare industry within a pharmaceutical company, insurer, or within a health system.
  • At least 1 year of Epidemiology research experience is preferred.
  • Experience with the statistical analysis and management of administrative claims datasets or electronic health/medical records.
  • Knowledge of medical terminologies (ICD, NDC, SNOMED, MedDRA, LOINC, CPT) is preferred.
  • A record of accomplishment of authoring scientific communications (peer-reviewed publications, poster or oral presentations at conferences, technical reports) is preferred.

Johnson & Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

At Johnson & Johnson, we’re on a mission to change the trajectory of health for humanity. That starts by creating the world’s healthiest workforce. Through cutting-edge programs and policies, we empower the physical, mental, emotional and financial health of our employees and the ones they love. As such, depending on location and subject to local legislation, candidates offered employment may be required to show proof of COVID-19 vaccination or, in certain countries, secure an approved accommodation prior to the commencement of employment to support the well-being of our employees, their families and the communities in which we live and work. If you are invited to interview for the position, your recruiter will advise on the vaccine requirement status in your geographic location.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.

#31

Tufts Clinical and Translational Science Institute: Software Development Analyst II- Res - G&C - CTSI

Apply through this link

Software Development Analyst - Res - G&C - CTSI

  • Boston, MA, USA
  • Employees can work remotely
  • Full-time
  • Work Address: 35 Kneeland Street, Boston, MA 02111
  • Shift: Days
  • Job Category (for posting purposes): Research
  • Employment Type: Full Time

Company Description

Tufts Clinical and Translational Science Institute (CTSI) (www.tuftsctsi.org), one of more than 60 organizations supported by the National Institutes of Health (NIH) Clinical and Translational Science Awards (CTSAs), was established in 2008 to transform the biomedical research process through education, promoting collaboration, and the provision of research infrastructure and support services. Tufts CTSI accelerates the translation of laboratory research into clinical use, medical practice, and health policy. In addition to its work with Tufts University, Tufts Medical Center, and other partner organizations, Tufts CTSI contributes to the national CTSA Consortium.

Job Description

This is an exciting opportunity for the right applicant to make an impact on the future of health care by joining the Health Informatics Program at Tufts CTSI. You will join the team that facilitates open science, develops data assets, innovates new methods, and implements solutions and workflows for knowledge generation, sharing, and delivery to the point of care or dissemination to inform policies. We integrate health care and research support, and work with observational data generated from health care settings including EHR, location-based (GIS), claims, device and other data types.

You will join the team of likeminded individuals and will work on cutting edge initiatives such as extending the content and functionality of a clinical research data warehouse and cloud architecture development, you will have the opportunity to explore and contribute to development of the natural language processing (NLP) techniques to mine clinical data, support the research community locally and nationally through the research networks such as N3C, in their data needs with close input and oversight from senior technical team members.

If you are a developer who enjoys community engaged open source development and collaboration, takes initiative, and works well independently and as part of a team, apply today!

PRINCIPAL DUTIES AND ESSENTIAL FUNCTIONS :

Responsible for contributing to software development initiatives:

Implementation

  • Contributes to team projects, with the objective of becoming more technically proficient.
  • Maintains existing policy and procedures for code reuse, documentation, and testing.
  • Contributes to design documentation, and functional requirements and specifications with guidance.
  • Works collaboratively with others in meeting user expectations and team deadlines.
  • Demonstrates problem-solving skills within team environment and with end users.
  • Adapts and self-teaches as needed to appropriately fulfill goals.

Ongoing Enhancements and Support

  • Participate in some after-hours on-call support, to troubleshoot and resolve system issues.
  • With oversight from senior technical team members, lead projects of varying scope.

Qualifications

  • Strong interpersonal skills demonstrated through prior work experience.
  • The ideal candidate has strong software development skills; able to deploy and debug software of varying scope and stack; must be able to work in a team environment as a member and a facilitator; has the ability to manage own time effectively; and able to perform some work independently. Additionally, the candidate must be highly motivated and willing to learn and adopt to new, leading-edge technologies. The candidate must possess excellent analytical, problem-solving skills, along with strong oral and written communication and interpersonal skills. Lastly, the candidate must be comfortable interacting with colleagues within the Tufts CTSI network and within the broader research community.

JOB KNOWLEDGE AND SKILLS:

Specific skills and experience in the following areas are preferred:

  • Strong working knowledge of either one of or all: R, Python, MS SQL. Knowledge of other languages is a plus.
  • Knowledge of database development, database management, and data quality best practices.
  • Knowledge of development and maintenance of small to medium-scale ETL processes, ETL tools, ideally within a biomedical environment.
  • Familiarity with Natural Language Processing and data mining techniques.
  • Familiarity with common data models in Health Sciences field.
  • Familiarity with HL7, FHIR interface.
  • The successful candidate must be comfortable using Windows- and Linux-based operating systems.
  • Basic understanding of software development life cycle.
  • Excellent customer service orientation.
  • Flexibility and can-do attitude.

MINIMUM EDUCATION:

  • Undergraduate degree required, advanced degree is desirable.

EXPERIENCE:

  • 2-4 years healthcare IT experience.

An equivalent combination of education and experience, which provides proficiency in the areas of responsibility listed above, may be substituted for the above education and experience requirements

WORKING CONDITIONS

  • Consistent with a typical office work environment. Work requires frequent typing/computer keying.

LOCATION

  • Employees may work remotely but must be located within the United States.

TERM

  • This is a short term grant funded position with the possibility of extension. Tufts CTSI is grant-funded through April 2023, with the strong possibility of long term renewal.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Tufts Medical Center reserves the right to modify position duties at any time, to reflect process improvements and business necessity.

Additional Information

All your information will be kept confidential according to EEO guidelines.

AMERICANS WITH DISABILITIES STATEMENT:

Must be able to perform all essential functions of this position with reasonable accommodation if disabled.

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed, as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. Tufts Medical Center reserves the right to modify position duties at any time, to reflect process improvements and business necessity.

COVID-19 POLICY:

Please note that effective October 1, 2021, as a condition of employment at Tufts Medical Center, all employees and new hires must have received their complete dose of the COVID-19 vaccine, unless they have been granted an exemption.

#32

The Critical Path Institute is hiring a Data Manager that will be supporting our International Neonatal Consortium’s Real-World Data project that is using OMOP.

Feel free to contact me for more information!

Apply through this link

Job Purpose Summary: The Data Manager is responsible for the management and processing of clinical and preclinical data used to support the research goals of C-Path consortia and other data collaboration projects. The Data Manager will utilize vendor and internally developed tools to review data quality, normalize and aggregate data according to accepted data standards, identify and resolve process flow issues and data quality problems, and create data analysis sub-sets required by research plans. The Data Manager will also assist with the design and implementation of databases and will support the development of solutions that address the data collaboration needs across a broad spectrum of stakeholders.

Essential Job Duties and Responsibilities:

  • Review, curate, and validate preclinical and clinical data
  • Utilize vendor and internally developed tools to identify and resolve data quality problems
  • Extract, transform, and load data into C-Path databases in accordance with prescribed data standards
  • Analyze data and create analysis data sets based on research specifications
  • Assist with the implementation and support of databases
  • Assist in the development of internal data collaboration projects. This may involve the development of software to optimize data input and output.
  • Support effective collaborations with C-Path teammates, external vendors, consortia members, and other stakeholders across the globe
  • Other duties and responsibilities may be assigned

Education and Training:

  • Bachelor’s degree in Life Science, Statistics, Data Management, Computer Science, Information Management, or Medical Technology
  • 3+ years’ experience in industry (pharmaceutical, CRO, biotechnology), healthcare, or academia preferred

Knowledge/Skills/Abilities:

  • Excellent organizational, interpersonal skills and problem solving/decision making skills
  • Works well independently and in a team-oriented, collaborative environment
  • Ability to effectively manage time, prepare for meetings, and prioritize project work
  • Experience with relational databases with proficiency is SQL (PostgreSQL and/or MySQL preferred)
  • Experience with statistical analysis software (SAS or ‘R’ preferred)
  • Competence with other programing languages such as Perl, Python, Java, C++, or Ruby is beneficial
  • Knowledge of clinical research industry and familiarity with the clinical development process is beneficial
  • Experience in clinical/preclinical data management is beneficial
  • Proficient use of Microsoft Office Suite, Skype, WebEx and other conferencing technology is preferred
  • Requires strong oral and written communication skills.
  • Travel on occasion for out of town meetings (max 3-5%).
t