Attached are two job announcements for faculty positions at the
University of Pittsburgh Department of Biomedical Informatics. -R
USC - PRE-DOCTORAL AND POST-DOCTORAL TRAINING FELLOWSHIPS IN ENVIRONMENTAL GENOMICS
The Department of Preventive
Medicine anticipates the availability of two new pre-doctoral positions
in our training program in “Environmental Genomics,” supported by the National
Institute of Environmental Health Sciences.
The aim of this program is to provide multidisciplinary training in
epidemiology, genetics, biostatistics, bioinformatics, and computational
biology to future researchers aiming to study environmental and genetic risk
factors in disease.
Pre-doctoral fellows may be
enrolled in any of the Ph.D. programs offered by the Department of Preventive
Medicine, but with particular priority for the programs in Epidemiology
(especially the environmental or molecular tracks), Statistical Genetics and
Genetic Epidemiology, or Biostatistics. For this round of applications from
candidates enrolled in doctoral programs in Bioinformatics or related “big
data” disciplines, including programs in other departments, are encouraged to
apply. Applicants must have an interest in environmental and genetic aspects
of disease and/or the development of relevant methodology and will be expected
to pursue a multidisciplinary approach towards their training. Awards may
be held for up to three years, effective September 1, 2015 (depending upon
position in the program at the time of the award), contingent upon annual
review of performance. No additional
duties (e.g., research or teaching assistant) beyond pursuit of the academic
degree will be expected.
Only U.S. citizens or permanent
residents (green card holders) are eligible to be supported by this grant. Applications from underrepresented minorities
are particularly encouraged.
Interested candidates should
submit a letter by close of business August 15, 2015, outlining their
research and training objectives (one page) and names of three references; also
attach a CV. Students in doctoral
programs other than Preventive
Medicine should also include a summary of their prior academic history and USC
transcript. Address applications Dr. Rob
McConnell at rmcconne@usc.edu.
Astellas is announcing a Real World Informatics Head of Global Capabilities and Alliances opportunity in Northbrook, IL, Leiden, The Netherlands, or Tokyo, Japan.
Purpose & Scope:
This position will lead the group within global real-world informatics (RWI) center of excellence responsible for interfacing with the global functions (R&D, strategic marketing, medical affairs) to support their business needs. This includes education on potential use cases and translating high-level business needs into RWI projects and working with analytics resources (within the RWI function) to execute the appropriate analyses.
In addition to supporting use cases for global functions, the role will also have responsibility for establishing and maintaining the innovative uses of RWI and capabilities to support those uses within the function and more broadly throughout Astellas.
Essential Job Responsibilities:
- Build and lead a global team (both in scope and location) responsible for interfacing with key global functions throughout Astellas – personnel located across multiple geographies
- Leads educating Astellas’ global functions (e.g., Drug discovery research, Global marketing strategy, Project and portfolio strategy, Global development, Global medical affairs, etc.) on appropriate RWI use to meet their business needs– scoping projects and working with other members in the RWI function to enable appropriate project execution
- Lead the efforts to identify critical capability gaps within the RWI function and at Astellas (more broadly) and develops / builds external partnerships to solve
- Develops knowledge of and access to leading RWI and Big Data industry innovations for Astellas across all global functions and potential use cases; responsible for integrating innovations into key RWI initiatives within the RWI function and more broadly at Astellas as appropriate
- Raise Astellas external recognition through thought leadership in the RWI and analytics application space
Qualifications:
Required
- Bachelor’s degree
- 15+ years related experience with 8 years in pharmaceutical / biotech
- Prior leadership position in pharmaceutical development, HEOR, analytics, new product planning, strategy or similar function
- Technical knowledge in related competencies including RWI data types, common analytic use cases, and methods
- Cross-functional knowledge of pharmaceutical lifecycle, especially R&D and new product planning and resultant analytic needs (applications, methods, tools)
- Knowledge of external RWI / Big Data partner and innovative use case landscape
- Creative construction, negotiation and mobilization of multi-stakeholder partnerships and commercial arrangements
- Knowledge of compliance, privacy and safety pertinent to real-world data analytics
Preferred
- Advanced degree
- Prior consulting experience in RWI
- Experience with real world informatics across multiple geographies
To apply, please visit: http://www.us.astellas.com/careers/
Astellas is announcing a Real World Informatics Global Analytics Lead opportunity in Northbrook, IL, Leiden, The Netherlands, or Tokyo, Japan.
Purpose & Scope:
This position will lead the global real-world informatics (RWI) capability for the analytics execution – the design, building and execution of the ‘Analytics Service Center’ within the RWI function. This individual must work collaboratively with all parts of the Astellas business and other members of Astellas’ RWI CoE.
A successful individual in this role will be able to apply the appropriate degree of analytic guidance, innovation, and rigor (including QA/QC processes and resources) to multiple different types of analyses to support the expansion of RWI use across Astellas.
Essential Job Responsibilities:
- Builds and leads a team responsible for realizing the value of RWI through the ‘Analytics Service Center’
- Responsible for working with other members in the RWI function to enable efficient and effective project execution for projects sourced from the business and scoped by the functional and regional interfaces within the RWI function
- Responsible for managing the ‘Analytics Service Center’ to serve the broad needs of Astellas’ RWI customers across multiple geographies (US, Europe and Asia), multiple functions and multiple use cases (e.g. publications, internal decision making, hypothesis generation)
- Design and lead deployment of the analytics services resource model consisting of internal and external resources in aggregate for the function and on individual projects
- Manage workload and resourcing of projects among TA-aligned methodologists, programmers and statisticians in the RWI function
- Set quality standards/processes to effectively manage demand in tailored to different types of analytic delivery needs (e.g. protocolized vs. fast-cycle)
- Input for setting departmental objectives and key performance indicators; accountable for accurately measuring and reporting those analytics execution
- Responsible for keeping up to date on analytics and informatics developments in the RWI and Big Data fields related to pharma and healthcare and bringing appropriate innovations into the RWI function and Astellas (more broadly)
Quantitative Dimensions:
This position will have responsibility for the operating budget to build and maintain a group of internal and external resources for executing the analytics within the function. This includes managing budget for outsourced analyses up to $3MM.
Organizational Context:
This position reports directly to Astellas Executive Director RWI function and will have responsibility for a group of approximately seven individuals (mix of methodologists, programmers, statisticians and data scientists). Initially the entire RWI CoE organization will include a mix of internal and external (contract resources). With demonstrated success in the initial build out and expansion to grow as support for more diverse geographies, therapeutic areas and additional RWI demands.
Qualifications:
Required
- Advanced degree (e.g. PhD in statistics)
- 15+ years related experience with 8+ years in healthcare analytics and statistics
- Prior management of analytics functions including stats, methodologists, etc.
- Knowledge of support infrastructure to enable real-world analytics execution
- Deep expertise with HEOR, epidemiology and publications and medical communications
- Technical knowledge in related competencies including RWI data types, common analytic use cases, and methods
- Experience with business analytics
- Expert knowledge of compliance, privacy and safety pertinent to real-world data analytics
Preferred
- Experience with real world informatics across multiple geographies
TO APPLY, PLEASE VISIT: http://www.us.astellas.com/careers/
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
Sr Informatics Developer
Informatics Business Systems Analyst
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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
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:
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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