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Professional opportunities available within the OHDSI community

Northeastern University invites applications for multiple tenured/ tenure-track faculty positions in support of an Impact Engine centered on large-scale observational health data science and informatics to start in the fall of 2023. These faculty will be core members of our Real-World Healthcare Navigator (RWHN) Impact Engine which aims to change how research is translated into clinical practice by establishing a sustainable service that leads the way in fully reproducing health studies (Real-World Healthcare Navigator | Impact Engines).

We welcome applicants involved across the entire pipeline of conducting observational health studies at scale, with a focus on faculty whose research areas include the use of real-world data such as health insurance billing and claims data, electronic health records, and disease/medication registries. We are particularly interested in individuals who bring expertise in topics including data interoperability, data harmonization, data standardization, ontology development, causal inference, pharmacoepidemiology, population and personalized health, precision oncology, open science, Bayesian methods, biostatistics, or related fields.

Successful candidates will work closely with the OHDSI (Observational Health Data Sciences and Informatics) Center at Northeastern’s Roux Institute to develop and apply healthcare analytics in the real-world evidence (RWE) area with the goal of improving patient health outcomes. Because these will be interdisciplinary positions, successful faculty members will be appointed to Departments and Colleges at Northeastern University that best fit their interdisciplinary research focus. Responsibilities will include teaching both undergraduate and graduate courses, conducting independent and collaborative externally funded research, advising students, and performing service to both the university and profession. Candidates should possess a PhD or other terminal degree in a related field by the appointment start date, and a record of research commensurate with rank.

Applications will be evaluated on a rolling basis beginning on November 28, 2022.

Lifebit are currently recruiting for multiple Health Data Scientists with OMOP experience to join our team.
The position is permanent full-time and remote, so even though our headquarters are in London, applications from around Europe are encouraged.
A full JD can be found here: Health Data Scientist (OMOP/FHIR/CDISC Data) - Lifebit Biotech Ltd
If the opportunity is of interest to you please either submit your CV on the above link or send it directly to shaun@lifebit.ai


SimulStat is recruiting for a Senior R Programmer/Analyst - RWD & Analytics for a large biotech client’s Real World Data group. If interested please apply at the link below:

Location: Remote

As a Sr programmer/analyst, Real-World Data and Analytics, you will conduct hands-on programming (expert level in R, proficient in SQL) in supporting our real-world data & analytics needs under the supervision of our Director HEOR analytics scientists.


  • Respond to HEOR Director’s request timely
  • Understand query, analytics requests, and study specifications
  • Proactively clarify requests and ensure accurate implementation of protocols and analytical specifications
  • Conduct queries to real-world data in OMOP Common Data Model (CDM)
  • Create code mappings (e.g., ATC to NDC) using OMOP vocabularies to support HEOR’s needs
  • Support analytical methods using R where needed (e.g., certain advanced methods requiring R packages)
  • Ensure high-quality work products
  • Keep detailed documentation and generate results with a clear and professional presentation
  • Detail-oriented with excellent communication skills.
  • Can work independently and efficiently to meet aggressive timelines where needed
  • Adapt to rapidly changing priorities

Qualifications and Experience Required:

  • A Master’s degree in health services research, epidemiology, biostatistics, public health, or a subject area with a strong focus on the application of data science to healthcare data with 3+ years of hands-on programming experience; or a Bachelor’s degree in a quantitative field with 7+ years of hands-on programming and analytic experience using healthcare data.
  • Expert R programmer and proficient at SQL
  • Expert knowledge of OHDSI OMOP CDM, vocabularies, and its use in real-world evidence generation
  • Hands-on experience in using various OHDSI open-source tools, such as HADES R packages, OHDSI Shiny, as well as Atlas tool, to conduct real-world research
  • Ability to revise and develop R packages to fit custom study needs
  • Proficiency with common statistical methods, such as survival analysis, generalized linear models
  • Familiarity with various observational study designs, such as cohort, case-control, cross-sectional
  • Ability to effectively communicate methods and findings
  • Knowledge of visualization software is a plus
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We have several exciting internships open at JNJ for Summer 2023, which can provide opportunities for learning and contributing to the use of real-world data to generate reliable evidence using the OMOP CDM and OHDSI toolkit, all while working with a fun team! Links to apply below:

OHDA Graduate Intern: OHDA Graduate Intern, Titusville, United States | Johnson & Johnson Careers

OHDA Undergraduate Intern: OHDA Undergraduate Intern, Titusville, United States | Johnson & Johnson Careers

Epidemiology Graduate Intern: Epidemiology Graduate Intern, Titusville, United States | Johnson & Johnson Careers

Data Science RWE for R&D Intern: Data Science RWE for R&D Summer Intern, Titusville, United States | Johnson & Johnson Careers

Data Science RWE DevCon Intern: Data Science RWE DevCon Summer Intern, Titusville, United States | Johnson & Johnson Careers

We are expanding our team at the Center for Surgical Science and looking to find a Chief Data Scientist - Center for Surgical Science (CSS) to join us on our OHDSI journey.
Check it out and share with anyone who might be interested!

Location: Køge, Denmark

At the Center for Surgical Science (CSS) we are looking for a highly motivated and experienced Chief Data Scientist to join our Big Data & Personalized Medicine (BDPM) section and become part of a multidisciplinary team aiming to improve healthcare for the surgical patient.

If you find research and innovation intriguing, if you are interested in having a role in shaping the future of personalized treatments, and most importantly, if you are looking for a team to help you shine professionally, CSS may have an ideal job offer for you.

The ideal candidate will have a proven track record of managing data science projects and teams, developing and executing data science strategies that drive research value, as well as a strong background in data management, statistics, machine learning, and data analysis. As a Chief Data Scientist, you will be responsible for overseeing the development and execution of our data science projects and roadmap, ensuring they are aligned with business goals and objectives, managing a team of data scientists, data engineers and machine learning engineers and providing thought leadership and strategic guidance to the data science team.


  • Manage the day-to-day operations of the data science team, including project prioritization, resource allocation, and mentorship of team members.
  • Collaborate with other departments to ensure data science projects align with research goals and objectives.
  • Develop and implement data science strategies and roadmaps that align with the unit’s overall vision and mission.
  • Designing and implementing studies on translational, clinical and real-world data, to answer valuable clinical questions.
  • Stay up-to-date with the latest data science tools and techniques, and evaluate their potential impact on the organization.
  • Ensure that the team is following best practices for data management and data analysis.
  • Communicate findings and insights to stakeholders in a clear and concise manner.
  • Build and maintain relationships with key stakeholders and business partners to identify opportunities for data science projects.
  • Participate in the hiring process for new data science team members and provide mentorship and training to ensure their success.
  • Actively participate in scientific writing and funding applications.

Your Profile

Expected qualifications:

  • Master’s and/or PhD degree in Computer Science, Statistics, Mathematics, Machine Learning or a related field.
  • 5+ years of experience in data science or a related field, with 5+ years of experience in managing data science teams.
  • Strong knowledge of statistical analysis, machine learning, and data mining techniques.
  • Programming skills in languages such as Python or R.
  • Strong communication skills and ability to explain technical concepts to non-technical stakeholders.
  • Strong project management skills and ability to manage multiple projects simultaneously.
  • Experience with cloud platforms

Desired qualifications:

  • Experience with Software as Medical Device
  • Experience with regulatory affairs
  • Experience with data protection and data approvals
  • Experience with standardization frameworks such as the OMOP CDM
  • Experience with epidemiological research
  • Experience with Danish healthcare registries
  • Experience with Real World Data

The Center for Surgical Science

CSS currently consists of more than 50 employees. We are based in the Department of Surgery at Zealand University Hospital and our aim is to improve the treatment of patients with surgical diseases, minimize morbidity and optimize clinical outcomes. Through a cross-disciplinary research approach, we utilize the full spectrum of the available health information to tailor multi-modal interventions and characterize key issues for patients undergoing surgery in order to individualize pre-, intra- and postoperative treatment. As a world-class institution, we participate in key global research initiatives and have been recognized as a Danish and EU leading establishment in our respective fields.

We are running infrastructure developments within the area of surgical oncology based on Danish Health Data with integration of research-based translational OMICS data with the scope of providing cancer-specific solutions in predictive modelling. We have recently established a Scandinavian Consortium generating a data science infrastructure for federated learning based on health data and with the scope of implementing this in a clinical setting in Norway and Denmark.

The Big Data & Personalized Medicine section at CSS is providing the necessary infrastructure and support to the core clinical departments, in a common effort to achieve the centers’ targets. Our methods include the use of international health data standards and key open-source technologies to establish a common data platform compatible with the leading Personalized Medicine initiatives in Denmark, Europe and the rest of the world. Standardization, Quality Control and Quality Assurance are the key aspects of our operations.

Our Job Offer

This is a standard 37h/week contract. The work language is English. We can provide a competitive salary with the possibilities for public /private funding sources in the long run and vast opportunities for being involved in scientific publications if wanted. We commit to an inclusive recruitment process and equality of opportunity for all our job applicants.

Do you see yourself as part of CSS?

Then please send your application and CV as soon as possible. The deadline for the application is 15th of May 2023. The interview will be held shortly after and the start date will be the 1st of June or as soon as possible thereafter. If you have any questions, do not hesitate to contact our Director Ismail Gögenur (igo@regionsjaelland.dk or +45 47 32 30 12).

Apply here

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We have an opening, permanent position, for a Data Steward position working on Biobanking population data based in Germany. The role will be focused on data quality and data governance. Part of the position will be responsible for managing the data quality lifecycle of OMOP tables produced for the various biobank sources. Full details on the following link: [https://tas-boehringer.taleo.net/careersection/jobdetail.ftl?job=233579&lang=en]

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I have an opening for an experienced ETL Developer / Health Data Analyst on my Research Data Assets team at UCSF. While this position will not initially be focused solely on OMOP, we have a growing focus in that direction (we have multiple OMOP instances and are looking to push more users towards them), and I’d love to see some applicants from the OHDSI community. This is a full-time, permanent position on a team that primarily works remotely, so relocation would not be required if you already live within the United States.

Because this is a replacement position for a retiring team member, there are rather specific hard-skill requirements, particularly (1) expertise in ETL development, specifically with MS SQL Server, SSIS, and experience extracting from Epic Clarity to data models like PCORnet CDM or OHDSI OMOP, and (2) high proficiency in SQL, T-SQL, and a general or statistical programming language like Python or R.

Apply here – http://tiny.ucsf.edu/2w8hdo

Please feel free to pass on to others you’d recommend who may be qualified.

Holmusk (https://www.linkedin.com/company/holmusk/) is hiring a Summer 2023 Real-World Data Engineering intern now!

Holmusk is a leading global mental health and data analytics company building the world’s largest real-world evidence (RWE) platform for mental health. Internship start dates are flexible, but the sooner the better! Please reach out to me via email (callum.harding@holmusk.com).

A little about the internship:
-Competitively paid
-10 week internship (flexible dates)
-NYC office in SOHO
-Highly encouraged minimum 2 days a week in the office
-Direct and daily connection with senior leadership of a series B global mental health startup

What the intern will do:
The Real-World Data Engineering intern will work with the Real-World Data team at Holmusk to assist on various projects surrounding ETL design, build, and implementation.

Who the candidate is:
-SQL or Python programming experience
-Documentation and structured programming to support sustainable development practice
-Debugging and code-reading skills
-Passionate about mental health!



I have been working under HKU/UCL over data-engineering over ordinary EHR with different data formats like ICD9-10 to OHDSI/OMOP etc. Currently I am in Canada but I am open to work remotely worldwide (and matching your office hours). Should there be any opportunities in OMOP/OHDSI (or even FHIR) in North America, Europe or Asia, let me know and I am happy to provide my service.

Python / Javascript / Java
Big data ETL
API / backend and some frontend
SQL and noSQL
Documentations, debugging, some infrastructure and communication
Has been in frontline healthcare (sleep medicine) for 10 years before starting journey in OHDSI

Would finish Software Engineering Technology Program in Centennial College, Toronto, in December 2023
Had a Math and Econ degree from HKUST in Hong Kong

for Kelvin

We at University of North Carolina Chapel Hill are hiring a Research Informatics Specialist! This is a remote position (US only, with mostly East Coast hours).

This person will join a skilled and highly collaborative team of data analysts, software developers, and data scientists within our CTSA. The core purpose of this position is to support clinical data-driven research at UNC through services and tool development. We are looking for folks with SQL and health care data experience, especially OMOP.

Apply at the link above.
edit: corrected link

That link requires login credentials.

Corrected. Thanks for pointing that out!

Our research team at Stanford University is looking for a postdoctoral scholar in perinatal pharmacoepidemiology. The scholar will work closely with faculty members with expertise in epidemiology, medical informatics, and clinical medicine on NIH-funded research projects on the comparative safety and effectiveness of medications in pregnancy and related research topics. Our projects employ advanced analytical methods in large databases, including OHDSI network studies using claims data and electronic health record data in the OMOP CDM. Current topical focus areas include mental health, behavioral health and cardiovascular health of people who are pregnant or postpartum.

Our research group prioritizes a collaborative and inclusive team environment. The principal investigators, Drs. Stephanie Leonard and Brian Bateman, are experienced mentors who are highly committed to supporting the postdoctoral scholar in advancing their career as an independent investigator. Dr. Leonard co-leads the OHDSI Pregnancy and Reproductive Health Work Group (PRHeG). The postdoctoral scholar will have opportunities to both lead and contribute to research projects.

This position is in the Stanford University School of Medicine, which is a world-class training ground for future leaders in medical research, and puts research, training and diversity at the forefront of its overarching objectives.

This position has a flexible start date in 2023 or 2024 and the starting salary is $71,650+ plus benefits.

Further details are available here: https://postdocs.stanford.edu/prospective/opportunities/open-postdoctoral-position-faculty-mentor-brian-bateman. Please send any questions to Dr. Leonard at stephanie.leonard@stanford.edu. Details on postdoc resources at Stanford: https://postdocs.stanford.edu/

Post Doctoral Researcher (Level 1 or 2) in Cancer Digital Health Real World Evidence

We are seeking to appoint a highly motivated and talented Post Doctoral Researcher in Cancer Digital Health research to join the eHealth-Hub for Cancer led by Professor Aedin Culhane at the Limerick Digital Cancer Research Centre.

Apply on the UL Vacancies Website

Closing Date: 12 noon, Irish Standard Time, Friday, 15th December 2023.

SALARY SCALE: PostDoc level 1: €42,033 - €48,427 p.a. pro rata, PostDoc level 2: €49,790 - €54,153 p.a. pro rata

Informal enquires regarding the post may be directed to:
Professor Aedin Culhane
School of Medicine
University of Limerick
Email: [aedin.culhane at ul.ie](mailto:aedin.culhane at ul.ie) or [eHealth at ul.ie](mailto:eHealth at ul.ie)

The University of North Carolina Chapel Hill CTSA are hiring a Research Informatics Specialist! This is a remote position (US only, with mostly East Coast hours).

This person will join a skilled and highly collaborative team of data analysts, software developers, and data scientists within our CTSA. The core purpose of this position is to support the All of Us Center for Linkage and Acquisition of Data project. We are looking for folks with SQL and health care and/or claims data experience, especially OMOP.

Apply here: https://unc.peopleadmin.com/postings/272920

Dear all,
I have a few positions open and looking for good talent to join us. These positions will work very closely with the OHDSI community. Details about the position can be found by the links below:
1- Director data scientist OHDSI: https://gilead.wd1.myworkdayjobs.com/gileadcareers/job/United-States---New-Jersey---Parsippany/Sr-RWE---Data-Scientist---OHDSI----Director-level-_R0039620-2

2- Director Data Acquisition lead: https://gilead.wd1.myworkdayjobs.com/gileadcareers/job/United-States---California---Foster-City/Director--Data-Acquisition---Clinical-Data-Science_R0039676-2

3- Senior Director, Head of Data Office: https://gilead.wd1.myworkdayjobs.com/gileadcareers/job/United-States---California---Foster-City/Sr-Director--Head-of-Data-Office_R0039661-3

If you are interested or know someone that might fit, please get in touch or apply directly.

The University of North Carolina Chapel Hill CTSA is hiring for a Research Informatics Specialist! We are looking for folks with SQL and health care and/or claims data experience, especially OMOP. This is a remote position (US only, with mostly East Coast hours).

Please share with anyone you think might be interested. Apply here: https://unc.peopleadmin.com/postings/275297

I would love to keep in touch! I will be looking for a postdoctoral position next spring 2025 and I do this type of research.

Senior Data Analyst
National Cancer Institute – Contractor Position

The National Cancer Institute’s (NCI) Division of Cancer Epidemiology and Genetics (DCEG) has launched a new prospective cohort, Connect for Cancer Prevention Study, that will recruit 200,000 adults in the United States. The study was designed to further investigate the etiology of cancer and its outcomes by capitalizing on research innovations to advance the field of cancer epidemiology and prevention. Study participants will provide serial responses to questionnaires, donations of biospecimen, access to electronic medical records, and other sources of data for decades. The resulting data will be hosted by the NCI and made available to the scientific community following protocols to ensure the data is F.A.I.R. and protects study participants’ privacy.

Work description
DCEG is seeking a senior data analyst for the Connect data analytics team. The successful candidate for this position will assume data management and curation responsibilities for Connect. The candidate will work in a highly collaborative, cross functional development team on various project activities communicating actively and frequently with other team members as needed. Since this is a human subjects’ study, the analyst will need to remain cognizant of regulatory compliance with patient protections and pay strict attention to where data are and where data go.

• Implements data manipulation, cohort selection, variable derivation, statistical analyses of epidemiologic data, and production of results (tables, figures and reports) for presentation or publication, including validation and review of others’ programs all per literate programming practices
• Provides supervision, training, and guidance to junior team members
• Provides evaluation of data quality, including monitoring, troubleshooting and resolution of data errors
• Other job-related duties as assigned

Minimum qualifications:
• Master’s degree in epidemiology, biostatistics, statistics, data science, a related field, or equivalent practical experience (approximately 5 additional years of experience).
• 5 years of experience with large scale multi-source data collection and analysis. Analytical engagements outside class work while at school can be included.
• Proficiency with R, R Studio, and R Studio Connect.
• Proficiency with SQL or use of SQL in analytic software such as R or BigQuery in the Google Cloud Platform.
• Proficiency managing and manipulating data (e.g., data coding and cleaning) from longitudinal studies, electronic medical records, and/ or insurance claims.
• Ability to communicate effectively across various audiences
• Ability to work both independently and collaboratively with others on cross-team projects
• Excellent problem-framing, problem-solving, organizational skills, attention to detail, initiative, and multi-tasking.

Preferred qualifications:
• Ph.D. in epidemiology, biostatistics, statistics, data science, or a related field
• Experience with a cloud environment such as Google Cloud Platform or Amazon Web Services.
• Experience coding analytics in python.
• Degree or work experience in cancer biomedical research.
• Experience working with human subjects’ data.

Additional details:
Pay is commensurate with qualifications. This is a contract position, arranged through a
government contractor, located at a government agency in Rockville, Maryland. Interested candidates should send a CV, a list of relevant software applications and degrees of competency, three professional references, and a cover letter to Dr. Nicole Gerlanc (nicole.gerlanc@nih.gov).