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Senior Manager, Statistical Programming

Parsippany Troy Hills, NJ 07054

Posted: 05/24/2024 Employment Type: Contract Job Category: Data Sciences Job Number: 606617 Is job remote?: No Country: United States

Job Description


Summary:

The Senior Manager-Statistical Programming, a hands-on with expert-level programmer in SAS and SQL, will lead in programming, managing and analyzing commercial administrative databases, registry cohort, observational studies, and clinical trial studies. The candidate is responsible for programming in numerous data processing steps (cleaning, extracting, merging, etc) in SAS/SQL/R/Python programing environments. Another critical responsibility for this position is to apply statistical methods to analyze study data with some literacy of the output and results. The candidate will also assist in managing and maintain clinical databases in prospective registry studies via the web-based platforms of REDCap and OpenClinica.

Working under the guidance of his/her manager, the candidate will process big real-world databases and extract targeted patient cohorts according to eligibility criteria and define various exposures, treatment, outcomes/endpoints. The candidate is also required to apply analytical methods (eg. propensity score matching, linear regression) to carry out statistical analysis by working with his/her manager as well as independently. The candidate will be responsible for the quality and accuracy of the generated results with little QC. The candidate will also learn to design and development of RW studies to aid in addressing business questions. The candidate has a basic understanding of healthcare databases. With little supervision, the candidate proactively seeks out answers via self-learning and discussion with his/her manage to carry out necessary steps to deliver results.

Essential Duties & Responsibilities:

  1. Process, manage, and carry out analysis on registry study and large claims databases.

  2. Learn to apply various statistical methods to RW research and clinical trial studies.

  3. Demonstrate knowledge of RWE databases (healthcare claims, charge data master, Medicare, EMR) and clinical trial data.

  4. Assist in developing statistical analysis plans and statistical outputs to support internal business strategy development and external communications via publications in conferences (abstracts, posters) and clinical journals (original, review manuscripts).

  5. Joggle multiple projects to meet the timeline.

  6. Learn subject matters and new statistical methods.

  7. Design and implement the development of macro/library codes (eg, SAS macros).

  8. Provide input and contribute into development of the SAS/SQL/R/Python programming environment.

Interaction:

This role interacts with numerous teams, including health economic and outcome research, market access, commercial operations and strategy, payer and employer relations, business development and clinical trials, data and statistical programmers, biostatisticians, project management, IT and external vendors.

Education and Experience:
  • Masters degree from an accredited college or university in health economics and outcomes research (with strong analytical skills), statistics, mathematics, psychometrics/psychology, epidemiology, computer science or related fields.
  • Minimum 9 years of experience programming in SAS/SQL/R/Python with at least 3-5 year in the pharmaceutical industry.

Qualifications:

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Proven strong and advanced programming and analytical abilities in SAS/SQL/R/Python including:
    • Data processing/extraction and cleaning with SAS, SQL, R or Python
    • SAS Macro language
  • Application of statistical methods to health clinical and economic outcome data
  • Deliverable outputs that are meaningful and easy to visualize and understand--descriptive data summary, statistical tests, graphical procedures, etc.
  • Appreciation/understanding/interpretation of the results
  • Demonstrate experience in conducting observational research and study design, strengths and limitations.
  • Proven project management skills
  • Good written and oral English communication skills

Physical Demands:

While performing the duties of this job, the employee will need to safely navigate a traditional office with cubicles, offices and conference rooms.

Work Environment:

The role will be on-site, based in Parsippany, NJ. However, work remotely may be considered.




Pay Rate Range: $45-60/hr. Salary will be commensurate with experience 
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About Parsippany Troy Hills, NJ

Ready to take the next step in your career? Explore exciting job opportunities in the vibrant area around Parsippany Troy Hills, New Jersey! Nestled in Morris County, this bustling region offers a perfect blend of urban amenities and natural beauty. With proximity to New York City and charming attractions like the Frelinghuysen Arboretum, the Stickley Museum at Craftsman Farms, and the Shakespeare Theatre of New Jersey, there is no shortage of cultural experiences to enjoy. Indulge in delicious local cuisine at renowned spots like the Ho-Ho-Kus Inn & Tavern, or unwind in the picturesque parks and recreation areas. Join us in discovering the charm and endless growth opportunities in the Parsippany Troy Hills area!

Although this hasn't been an issue at Planet Pharma, the staffing industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly and never provide banking information during the application process. Candidate safety is a top priority at Planet Pharma.