Sr RW Programmer/Sr Data Scientist/Analyst - Real World Data(US and UK Only)

Updated: Today

Location: London, LND, United Kingdom

Job ID: 25108521-OTHLOC-3526-2DR

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Description

Sr RW Programmer/Sr Data Scientist/Analyst - Real World Data(US and UK Only)

Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.

Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.

Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need.

Discover what your 25,000 future colleagues already know:

Why Syneos Health

• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.

• We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life.

• We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.

Job Responsibilities

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Open to US and UK only - No sponsorship available for this role.

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This position is very heavy programming and data review for RW data analyses. Experience with commercial databases such as Optum, HealthVerity or PharmMetrics will be important. Also support for protocol and SAP review in support of the epidemiologist is critical. ICD knowledge and experience will also be important.

Roles within the Statistical Programming job family are responsible for developing programs and providing statistical programming support for the epidemiologists or for client or business use to address needs for sourcing, organizing (creating statistical tables, listings, and graphs), and interpreting complex data sets utilizing codes and programs. This includes developing codes that create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions geared toward increasing productivity.

Impact and Contribution

Individual contributors with responsibility in a professional or technical discipline or specialty, but may manage two or fewer employees. May direct the work of lower level professionals or manage processes and programs. The majority of time is spent contributing to the design, implementation or delivery of processes, programs, and policies, using knowledge and skills typically acquired through advanced education. Individual contributor with developing subject matter expertise and responsibility for processes. In-depth knowledge and skills within a professional discipline, understanding the impact of work on related areas. May be responsible for entire projects or processes within area of responsibility.

Minimum Requirements

• Data Experience:

• eHR

• Claims Data: Optum, HealthVerity, or IQVIA PharmMetrics

• Nice to have: MarketScan, VA data, Medicaid, Medicare

• Programming Language: SAS or R, Must have SQL experience.

• Programmatic Cohort derivation experience

• Index date definition

• Modeling/Programming

• GLM

• Logistic

• Cox

• Propensity Score Matching

• Incidence computation

• Prepare data specs and develop a strong understanding of study protocols.

• Review data and program outputs against protocol requirements, flagging issues or questions, and escalating as appropriate.

• Ability to address messy data

• Identify issues and possible solutions

• Understand follow up period and impact

• Use of ICD or other related clinical terminology

• Ability to address messy data

• Identify issues and possible solutions

• OMOP CDM understanding

• Transform healthcare data into a common format

• Use of AI/ML for LLM and workflow and scaffolding is ideal.

• Nice to have:

• AI/ML modeling.

• Github experience and versioning.

• Uses R, SAS, Python or other software to develop custom programming code to generate summary tables, data listings, graphs and derived RW datasets as specified in the statistical analysis plan and programming specifications.

• Development of programming specifications.

• Works to ensure that out