Senior Scientist, Real-world Data Analytics and Innovation

Key Skills

Amazon RedShift, Big Data Technology, Data Analytics, Data science techniques, R Programming, SAP, SAS, SQL, US Healthcare Recruitment

Job Description

You are a seasoned data scientist with interest and experience in real-world evidence (RWE) generation through the execution of advanced and innovative analytics using SAS, R, SQL, etc., on administrative claims, EHR/EMR, patient registry, and public-use databases. You have expansive knowledge and experience in developing and communicating the contents of programming requirements and specification (PRS) documents based on study protocol objectives and research designs and statistical analysis plans (SAP) to RWE stakeholders. You have robust analytics validation and quality control skills, and a strong capacity to learn and understand new database contents and structures, and flexibility to seamlessly integrate into new RWE projects. You have experience performing and delivering ad-hoc analytics requests as needed and in a timely fashion.

Where you fit in:

You will collaborate, primarily, with real-world data analytics and innovation (RDAI) colleagues and other scientists within the Center for Observational and Real-world Evidence (CORE) to provide analytics support on outcomes research studies including RWE studies, generation of input parameters for use in health economic models, and exploratory RWD/RWE requests from cross-functional stakeholders. You will plan, perform, and communicate the following outcomes research support activities: (i) help explore suitability of datasets for outcomes research questions, (ii) help develop SAPs and/or table shells as part of study protocol development, (iii) develop/modify PRS documents to reflect the objectives of specific study protocols and/or SAPs, (iv) assist in other RWE analytics activities including the writing (with detailed logical comments), reviewing, running, and validation of analysis produced in SAS, R, SQL, (v) contribute to the use of PRS documents as a basis for producing required tables, listings, and figures (TLFs) for RWE stakeholders, and (vi) generate other documents related to the provision of RWE analytics support and contribute to activities relevant to maintaining high RWE analytics standards. You will perform these activities independently and under a supervisor in a vibrant research environment with a strong innovative culture within the RDAI group. You will have access to a wealth of resources and growth opportunities that a large pharmaceutical company can offer.

Responsibilities:

• Collaborate with colleagues to provide analytics support for assigned real-world evidence projects with a focus on real world data such as administrative claims, EHR/EMR, patient registry, and public-use databases.
• Effectively collaborate with your colleagues in the development and review of programming requirements and specification documents – based on approved study protocol objectives, research design and SAPs as part of Value Evidence generation.
• Assist in the efficient and effective development and implementation of reusable analytics documents in SAS, R, SQL, etc., to manipulate large databases, derive complex variables via algorithms, create analytic files according to study protocol objectives and research design, and produce required TLFs for RWE stakeholders.
• Assist in the development and implementation of rigorous programming quality and validation activities for RWE studies to ensure high quality and timely deliverables for all assigned RWE studies and exploratory projects.
• Assist in driving innovation in analytics and contribute to knowledge sharing and ideas that can accelerate and improve real-world evidence deliverables.

Qualifications:

Education Requirement:

• An advanced degree (MA/MS, PhD, ScD etc.) in a quantitative field such as statistics, biostatistics, econometrics, data science, biomedical informatics, health informatics, clinical informatics, epidemiology, health economics, biometrics, operations research, engineering, computer science or similar fields with at least 2 years of relevant data science and programming experience is required.

Required Experience and Skills:

• Two or more years of hands-on professional data science experience in real-world evidence analytics including writing, reviewing, running, and validating conventional and advanced programs, generating analytic files and producing research-grade TLFs in SAS, R, or SQL is required; experience and or knowledge of Python programming will be a plus.
• Broad and in-depth hands-on professional experience and knowledge of RWD such as administrative claims, EHR/EMR, patient registry, and public-use databases, to generate RWE is required.
• Ability to understand the contents of statistical analysis plans which may describe observational research objectives and their translation into programming requirements and specifications (PRS) documents is required.
• Experience identifying research cohort of interest using disease, procedure, therapeutic classification codes such as ICD-9-CM, ICD-10-CM, SNOMED, LOINC, NDC, HCPCS, CPT, etc., is required.
• Good interpersonal communication and organizational skills with strong attention to detail, clarity, accuracy, and conciseness is required.
• Ability to plan, organize, and work on multiple analytics tasks simultaneously in different but interrelated therapeutic areas is required.
• Motivation, proactiveness, inquisitiveness and flexibility in RWE deliverables is required.

Preferred Experience and Skills:

• Foundational understanding of statistical terminology, concepts and techniques used in descriptive analysis and multivariable analysis is preferred.
• Experience with outcomes research, including RWE studies, throughout the product life cycle within biomedical research and/or healthcare organization is preferred.
• Ability to collaborate effectively with programmers, statisticians, economists, epidemiologists, outcomes researchers, and IT in a matrix and cross-functional environment is preferred.
• Exposure/familiarity with machine learning algorithms (supervised, unsupervised learning, deep neural network, transfer learning) and ‘Big Data’ technology (such as AWS Redshift) is preferred.

Your role at our Company is integral to helping the world meet new breakthroughs that affect generations to come, and we’re counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At our Company, we’re inventing for life. 

Please note: This is a hybrid role. The selected candidate will work both remotely as well as onsite and will need to reside in a location that is within a commutable distance to a company location.

NOTICE FOR INTERNAL APPLICANTS

In accordance with Managers' Policy - Job Posting and Employee Placement, all employees subject to this policy are required to have a minimum of twelve (12) months of service in current position prior to applying for open positions.

If you have been offered a separation benefits package, but have not yet reached your separation date and are offered a position within the salary and geographical parameters as set forth in the Summary Plan Description (SPD) of your separationpackage, then you are no longer eligible for your separation benefits package. To discuss in more detail, please contact your HRBP or Talent Acquisition Advisor.

Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.

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U.S. Hybrid Work Model

Effective September 5,2023 our U.S. Hybrid work model will be as follows: 1. Three total days on site per week: Tuesday and Wednesday – plus one additional day of choice based on what works best for organizations and/or teams. 2. Fridays will formally be a remote-working day unless business critical tasks require onsite presence.

Under New York City, Colorado State, Washington State, and California State law, the Company is required to provide a reasonable estimate of the salary range for this job. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate’s relevant skills, experience, and education.

Expected salary range:

• $107,600.00 - $169,400.00