Senior Biostatistician

Work Schedule

Environmental Conditions

Job Description

At Thermo Fisher Scientific, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life – enabling our customers to make the world healthier, cleaner and safer. We provide our teams with the resources needed to achieve individual career goals while taking science a step beyond through research, development, and delivery of life-changing therapies. As part of our clinical research portfolio, our prospective real-world studies evidence-based solutions specialize in generating data intelligence and clinical insights needed to bring safe and effective treatments to market. Your objectivity and dedication to patient safety will improve health outcomes that people and communities depend on – now and in the future.

The Biostatistics team for the Real-World Science department uses specialized statistical expertise to perform analyses such as assessing prescribing patterns, comparing effectiveness between treatments, and investigating differences in safety outcomes using complex longitudinal prospective and registry data.

A day in the Life:

The Senior Biostatistician will serve as the data/programming lead for complex studies and will be a client-facing contributor.

This individual will lead all data/programming aspects for complex studies from end-to-end. This individual will independently present results and handle client questions related to data and output. This individual will be a technical lead and a study-level owner.

This individual will independently oversee analyses and provide strategic programmatic leadership to ensure high-quality and scientifically rigorous real-world evidence generation.

Hiring requirements:

Education

Master’s degree and/or Doctorate degree in Biostatistics, Statistics, Bioinformatics, Mathematics or a related quantitative field required

Experience

Master’s is required 3-5 years of applied statistical programming experience using SAS and R in research, pharmaceutical, biotechnology, CRO, or medical setting required

Demonstrated experience leading complex observational research studies (e.g. longitudinal, EMR, registry data) is required

Experience working with complex longitudinal registry or real-world data required

Demonstrated knowledge of retrospective and prospective observational study designs and related methodologies required

Experience mentoring or supervising junior biostatisticians preferred

Knowledge, Skills, Abilities

• Advanced proficiency in R required; experience with SAS required

• Experience leading database design input, CRF structure, and data validation strategy

• Strong understanding of statistical methodology for observational and longitudinal data analyses

• Ability to independently lead projects, prioritize competing deliverables, and manage multiple timelines effectively

• Strong scientific, analytical, problem-solving, leadership, and communication skills

• Demonstrated ability to collaborate effectively across cross-functional teams and communicate complex statistical concepts to technical and non-technical audiences

• Strong attention to detail and commitment to high-quality, reproducible analyses and documentation

• Requires excellent written communication skills and adherence to best practices for statistical programming and code documentation

• Ability to make independent judgments under limited supervision

• Strong interpersonal skills and a collaborative team-oriented mindset

Our Mission is to enable our customers to make the world healthier, cleaner and safer. As one team of 100,000+ colleagues, we share a common set of values – Integrity, Intensity, Innovation, and Involvement – working together to accelerate research, solve complex scientific challenges, drive technological innovation, and support patients in need.

Apply today! http://jobs.thermofisher.com

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.

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