This is a 100% remote role
Description:
Length of Contract: 2+ years (Multiyear contract for the right candidate)
Location/Site: Remote while in work from home status/while in office: Remote is fine. But onsite is preferred but not mandatory.
- SAS: Advanced user; Python – most important, if have SAS most likely will know R and Python
- R Language, Python Languages, open source languages
- Machine Learning – practical understanding
- Bio-Statistics
- Epidemiology
- Outcome Research
- Health Economics
- Health Services Research
- HEOR
- Claims Databases
Candidates work history should be solid as bio statisticians do not change jobs often, it is not easy to train new individuals so work history should reflect this solidarity of work history.
Looking for candidates who are newly graduating with PhD or Master’s degree with plus five years’ experience or PhD in Biostatistics, Health Economics and Outcomes research, Epidemiology, Health Services Research
HEOR Real World Evidence (RWE) Analytics
Contract: HEOR Statistician/Research Statistician/Data Scientist
Purpose:
- Role is responsible for designing and executing analytical components of plans for research studies that examine the real world value of pharmaceutical assets or address strategic questions in the disease areas of interest to client.
- Position applies methodological and analytical expertise to conduct the analysis of HEOR studies.
- This involves the application of real world evidence study design, statistical theories, and technical programming skills to analyze clinical, survey, claims, and electronic medical record databases.
- he/she is expected to act as point of contact for the assigned therapeutic area (TA) on RWE analytics needs, proactively mitigating, resolving and triaging issues and reducing the operational complexity needed.
- Newly graduated PhD, Bio Statisticians in Pharma, Clinical Research.
- Someone who is able to do the analysis required as more focus is on the analytical side of this position.
- Supporting strategy folks.
Responsibilities:
- He/she is expected to be the point of contact for the assigned therapeutic area (TA) or product/indications to manage analytics activities on multiple assigned projects/studies focusing on RWE analyses from large databases (e.g., medical claims, EMR/EHR, registries, etc.) across various therapeutic areas
- Responsibility for analytical component of reports describing studies, outcomes and methods used and provide specifications to the HEOR researchers
- Identifying appropriate internal and external data resources and external expertise to execute strategies and research activities led by HEOR
- Supporting clinical trial endpoint strategies by executing statistical analysis plans and providing consultation to design as needed; Apply knowledge of SAS programming to develop and validate statistical tables, data listings, figures, and derived datasets for clinical trials data according to SAP and other specifications
- Presenting results of studies and contribute to the writing and publishing of scientific presentations
- Responsibility and accountability for meeting timelines in complex matrix structure. This will require developing and maintain effective cross-functional working relationships to assure effective teamwork and problem solving within the analytics team
- Interactions with HEOR TA scientists and other relevant stakeholders regarding studies design and execution and with other members of the RWE analytics team or other external CRO's to perform QC activities on their studies
Qualifications
PhD plus any experience is highly desired over a Masters’ Degree.
- Master’s degree with plus five years’ experience or PhD in Biostatistics, Health Economics and Outcomes research, Epidemiology, Health Services Research
- Previous experience in designing and conducting research and disseminating the results in the areas of health economics, health outcomes, disease management, and/or population health preferred
- Minimum of 5 years’ experience in SAS, SAS Macro SQL programming and experience in observational study analysis (claims, survey, clinical and EMR analyses); Experience with “R” or other similar Programming (e.g. python) for real world evidence analytics
- Ability to incorporate production code macros in studies required, ability to execute programming assignment and problem solve issues independently, and ability to present complex research and data clearly to stakeholders
- Experience in RWE generation in pharmaceutical industry or healthcare consulting companies highly preferred
- Experience and/or training in the application of advanced scientific and analytical methods
- Ability to perform urgent analyses that are needed with short turnaround time and interact with internal and external collaborative partners on joint projects
*
Description Details:
Are you open to look at candidates willing to relocate? Yes. Relocation not necessary as this is fully remote
What are the top 3-5 skills requirements should this person have?
- Bio Statistics, SAS, Data science, Literature search, Machine learning
- PhD degree is absolute first preference
What type of environment is this person working in? Analytic team working with Research scientists
Work Schedule (Define days, # of hours)/ Is Overtime offered or required? If yes, how many hours, what impact to scheduled working hours? 40 hours/week
Does this position offer the ability to work remotely on a regular basis or is it an on-site role? If remote opportunity exists, what are the options (i.e., 1 day remote, 4 days on-site)? Remote until pandemic restrictions are lifted. Remote is fine for entirety of position
Job Types: Full-time, Contract
Pay: $32.00 - $75.00 per hour
Schedule:
- 8 hour shift
- Monday to Friday
Education:
Experience:
- Python: 5 years (Preferred)
- SQL: 5 years (Preferred)
- Machine Learning: 5 years (Preferred)
- R programming: 5 years (Preferred)
- SAS Macro SQL programming: 5 years (Preferred)
Work Location:
Work Location: Remote