No word of OHDSI/OMOP, @tomdesmedt? Not abreast with the best approach? 
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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.
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:
- Leading the evaluation and characterization of observational data for their fitness-for-use to address clinical and safety questions from across the organization
- 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
- Responsible for conducting analysis (using R) for real-world evidence generation and dissemination
- 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
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.
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
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
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
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.
Tufts Clinical and Translational Science Institute: Software Development Analyst II- Res - G&C - CTSI
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.
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%).
Hi there,
I work in Toulouse’s University Hospital (South of France) and we are hiring a data engineer to join our health data management team We have a lot of different application in our hospital and we need to make all of them accessible for researchers.
The job offer is available in french
Offre_Dataengineer.docx (17.0 KB) since it’s in a french institution.
Basically the job is to help us maintain and update our ETL/ELT infrastructure to transform our EHR and other application into a centralized datawarehouse (we use OMOP and FHIR) ! It’s possible to also work on the analytical side if that’s something you want to do but the main focus on this position is on the transormation and data prep side (at least for the first year).
Please feel free to send me an email at burq.p@chu-toulouse.fr if you’re interested !
Regards,
Prosper
Atropos Health is hiring across the board for Epidemiologists, ML Engineer, DevOps, SWE, PM, etc. Our mission is to bring RWE to the bedside to inform every patient encounter. Our multidisciplinary team of highly trained physicians, clinical informaticians, data scientists and engineers have designed a patient query language, platform and service to generate rapid and reliable RWE – the culmination of a decade-long research at Stanford University.
More about Atropos Health and our customers on https://www.atroposhealth.com/blog
Apply directly for jobs here.
Reach out for more info at info@atroposhealth.com.
Come join us in the Oncology R&D RWE Team at AstraZeneca.
We have two openings for Senior RWE Scientists. Apply by Sept 4.
Reach out to me if you have questions.
Dartmouth Health is recruiting for a Senior Database Developer to help with our EDW4Research, including OMOP, i2b2, TriNetX systems.
Fully remote option.
Details and to apply: Job details - LiquidCompass - Jobs
Or email me directly with questions:
Tim.Burdick@dartmouth.edu
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The OHDSI Center at Northeastern’s Roux Institute is recruiting a post-doctoral fellow to support the ongoing OHDSI-FDA CBER BEST Program: Postdoctoral Research Fellow, Observational Health Data Science and Informatics
This is a 2-year funded position that can commence as soon as a qualified candidate is identified. Applications can be submitted through the link above. If you have questions, contact @krfeeney or @JustinManjourides.