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Professional opportunities available within the OHDSI community

Postdoctoral Research Position in Patient-Level Predictive Modelling

Full time: 36 hrs per week

Job description
The Department of Medical Informatics is looking for a Postdoc to perform cutting edge research in massive-scale, patient level predictive modelling. This type of big data analytics is becoming reality due to initiatives like the Observational Health Data Sciences and Informatics (OHDSI) program which is a multi-stakeholder, interdisciplinary collaborative to bring out the value of health data through large-scale analytics (www.ohdsi.org), and the European Medical Information Framework (www.emif.org) which develops a collaborative framework for data sharing.

Responsibilities
The Postdoc will be responsible for developing novel methods and techniques to leverage the valuable information contained in the growing pool of Electronic Health Records (HER) data. This includes research in feature selection and feature engineering methods to deal with the by nature sparse and irregular-spaced data.

Work environment
The department of medical informatics is specialized in using routine healthcare data to study the effects of drugs. Large expertise has been built in using GP medical record data on more than a million patients in the Netherlands (the IPCI database: www.ipci.nl). Currently the department is coordinating and collaborating in several projects that aim at building EU and global wide linkage of databases.

Requirements
Candidates must have a PhD degree in biomedical informatics, bioinformatics, computer science, or statistics. Curriculum in and/or experience with data mining and machine learning as well as experience in programming and software development will be necessary for this opportunity. The candidate interested in this position must be highly motivated, willing to learn and demonstrate initiative in assigned tasks. Excellent written and verbal communication skills are crucial.

Terms of employment
Our institute is internationally at the forefront of medical informatics and pharmacoepidemiology and offers a dynamic, challenging, and cooperative research environment. As a Postdoc you will get a temporary position of two years (full-time). The terms of employment are according to the Collective Bargaining Agreement for Dutch University Medical Centers (CAO UMC). The Erasmus University propagates an equal opportunities and diversity policy. The qualifications of the candidate determine the academic level in which he/she will be ranked.

Applications
Applications, including a curriculum vitae; a motivation for your application and a description of research interests; a list of followed courses and grades; a list of publications; can be sent to d.i.m.dejong@erasmusmc.nl:

For more information please contact: Peter Rijnbeek, PhD by email: p.rijnbeek@erasmusmc.nl or via the forum

Healthcare Sr Data Scientist Position at Celgene

Celgene’s IKU (Information, Knowledge, Utilization) organization was formed to manage healthcare data as a core asset and harness its derived insights to drive decision-making across the entire organization; from research through to market access. The Senior Data Scientist is a key member of IKU’s data sciences team and conducts high-quality statistical and/or machine learning analyses utilizing real world evidence (RWE) and other healthcare-related data sources to answer exploratory questions and support Celgene goals, publication plans and cross-functional internal and external RWE collaborations.

The ideal candidate will be a seasoned data scientist with experience in large-scale healthcare data analysis. S/he will be experienced working in environments demanding diverse data sources, such as clinical trial data, electronic health record data, insurance claims data, and disease/patient registry data. The candidate must be hands-on and action oriented with a demonstrated ability to deliver on data-driven research projects. The candidate has demonstrated ability to actively listen, integrate input from diverse sources, and collaboratively translate medical or business questions into data and analysis requirements and a clear path forward.

This role will be required to maintain a deep scientific and analytical understanding of healthcare data, from data generation, collection, integration to its analysis and interpretation. This role will also be empowered to actively improve and innovate upon each of those areas.

Overall responsibilities include:
• Directly participate in multiple analytics projects
• Collaboratively develop analysis plans based on clinical or business questions, and lead their execution through the use of existing analytic approaches or the development of novel ones.
• Interpret data analysis results in clinical or business context, and articulate the implications of the results to the business function
• Represent the IKU Data Sciences group and its capabilities in meetings with nontechnical peers
• Work in a fast-paced multidisciplinary dynamic environment, and as necessary create examples, prototypes, demonstrations to help the business better understand innovative solutions
• Collaborate with team members to meet project checkpoints and accomplish team objectives

Key competencies, skills, and attributes:
• Advanced knowledge of a subset of analytical approaches (ex. machine learning, statistical analysis, predictive modeling, visual analytics) and the desire to continually learn and grow your analytical skillset
• Ability to work with structured and unstructured data
• Excellent communication skills with an ability to communicate complex matters in laymen’s terms
• Ability to multi-task and handle numerous complex relationships at a time
• Demonstrated ability to engage in effective joint problem-solving to address key challenges
Education and Experience Guidelines:
• 3+ years experience in pharmaceutical / biotechnology / healthcare / health IT industry
• Advanced degree (MSc., MPH, PhD) in Biostatistics, Epidemiology, Computer Science, Informatics, Mathematics, or related field with a substantial statistical component; or postdoctoral fellowship and/or accredited training in data-related sciences with a substantial statistical component
• At least 2 years education or experience in observational healthcare data analyses

Technical Experience Guidelines:
• Advanced hands-on knowledge of R and/or Python
• Working knowledge of SQL and relational databases
• Experience analyzing data from traditional healthcare databases (electronic medical records, claims, etc) is preferred
• Experience working with OHDSI tools and the OMOP CDM is preferred
• Experience with Hadoop platforms (ex Cloudera, Hortonworks) and related “big data” technologies is preferred
• Experience working in Cloud Computing environments (ex AWS, Azure, etc) is preferred

Applications
You can apply online at: http://jobs.celgene.com/ShowJob/Id/973948/Senior-Data-Scientist,-IKU/

I’m posting this on behalf of June Wasser, Executive Director, Reagan-Udall Foundation.

Reagan-Udall is recruiting for Scientific Director of the IMEDS program. Details about the position are provided here:

http://reaganudall.org/scientific-employment-opportunity

Applications can be sent to: Dave Woodbury at dwoodbury@reaganudall.org

Dear OHDSI Community:

Dr. Yong Chen and myself are hiring a joint post-doc with experience in statistics, computer science, engineering and/or informatics. Both of us collaborate with members of the OHDSI community and would be very excited to recruit someone from this community. More details on the attached posting.

We look forward to your application!

Application Information:
Apply as soon as possible and we will continue searching until the position is filled. Please send a CV, and two sample publications/manuscripts of the applicant to Dr.
Yong Chen (ychen123@upenn.edu) and Dr. Mary Boland (bolandm@upenn.edu) with subject line:
2018 Chen and Boland labs Postdoc position: <Applicant’s last name, first name>, to inquire about the position.

Contact Emails:
ychen123@upenn.edu
bolandm@upenn.edu

joint_postdoc_ad_final.pdf (65.7 KB)

Dear OHDSI,

Odysseus, a dynamic software company, has multiple openings for Software Engineers / Sr. Software Engineers:

  • Java Engineer / Developer (full stack): Java, Hibernate / Spring, React + Redux + Reselect, D3.js, Advanced SQL and RDBMS (PostgreS, Oracle, MS SQL), Web Services / Microservices (REST / JSON). Experience with one of the big data platforms (Cloudera, AWS, GCP) is a plus

  • Big Data Engineer / Developer: ETL, Advanced SQL, Big Data Platforms (Cloudera, AWS, GCP) and Hadoop/Spark

In addition to the technical skills listed above, the candidate ideally should have experience with the following:

  • Ability to work as a part of the dynamic distributed team.
  • Practical experience with Agile software development process and tools (JIRA / BitBucket or GitHub).
  • Experience with OHDSI standards (OMOP CDM, Vocabualries), methods and tools (ATLAS) is a big plus.
  • Experience working with clinical data sets (Truven, Optum, FlatIron and other) is a big plus.

The candidate will work as a part of the dynamic Odysseus team, be a part of OHDSI, participate in workshops, hackathons and collaborate to implement observational research solutions e.g. have a fun time developing cutting edge solutions.

Position location: Newtown, PA.

Please submit your resume to gregory.klebanov@odysseusinc.com

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

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

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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

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

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

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

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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

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

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

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).

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

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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.

@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.

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

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.
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