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Professional opportunities available within the OHDSI community

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).


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.


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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


  • 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


  • 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