Biostatistics Lead - Oncology and Rare Blood Disorders

Biostatistics Lead (Oncology and Rare Blood Disorders)

Job Description

L3-2

About the Job

We are an innovative global healthcare company, committed to transforming the lives of people with immune challenges, rare diseases and blood disorders, cancers, and neurological disorders. From R&D to sales, our talented teams work together, revolutionizing treatment, continually improving products, understanding unmet needs, and connecting communities. We chase the miracles of science every single day, pursuing progress to make a real impact on millions of patients around the world.​

Our Team

The Medical Excellence Team is part of Medical Operations & Effectiveness within Sanofi Specialty Care. Medical Excellence partners with our global therapeutic area medical teams, our country level teams, and other functions across Sanofi Specialty care to provide solutions that inform strategy, optimize scientific engagement, build competencies across the medical team with the ultimate goal of enhancing the impact the medical team has for patients.

The Biostatistics Lead will be a key member of several teams responsible for leading the development and conduct of statistical analyses contributing to the submission of publications and presentations arising from Sanofi Specialty Care sponsored clinical studies, including Phase 3 and 4 studies, and exploratory analyses.

This position supports Global Medical Affairs and marketed products, and analyses will be mostly exploratory/post-hoc and oriented toward the needs of therapeutic area-related conferences, and health care provider and payer audiences. The Biostatistics Lead will provide strategic input to cross-functional teams led by Medical Affairs who develop, select, and prioritize new exploratory/post-hoc analyses to meet specific strategic goals, and to teams who develop the abstracts and manuscripts.

The ideal candidate will come with relevant disease area expertise to be able to contribute significantly to the strategic planning for brand plans associated with medical and scientific communications. The successful candidate will be fully accountable for performing, QC'ing, and fine-tuning the chosen analyses, plus explaining and interpreting findings for internal colleagues, management, and external authors. The Biostatistics Lead will also be responsible for tracking documents and file archives for analysis plans, programming code, output, and associated reports.

Statistical approaches and methods will require innovative and customized approaches. The Biostatistics Lead will collaborate closely with internal statistics leaders and cross functional teams, as well as with alliance partner companies, as relevant, and the work of internal biostatistics and programming resources. As strong partnership across several stakeholders is key to the success of this role, it is important to have excellent communication skills and be fully comfortable in working with colleagues who are not co-located. 

This is a leadership and hands-on role and this is an exciting opportunity to be part of an active, high profile, high-impact Medical Affairs Department, and to perform interesting and complex statistical analyses in support of key product launches.

Job Responsibilities

• Understand existing studies, datasets, and analyses well enough to inform team members and guide strategy for future analyses. Harmonize statistical strategies and methods across departments 

• Lead, design, conduct, QC, and report on agreed upon analyses, including innovative and complex methods, for multiple products and therapeutic areas. This covers leadership across all activities including developing analysis performing hands-on statistical programming, and/or supervising external contractors responsible for analysis and programming. Analyses might be pre-planned or post-hoc, hypothesis testing or hypothesis generating, intended for dissemination or exploratory in nature. Present and/or explain findings to team members, internal managers, and/or external authors and experts. Validate inferences. Help craft listings and tables needed for abstracts, posters, slide decks, and manuscripts

• Co-lead forums and meetings when the focus is on analytical/data concepts, and support brainstorming and prioritization of the required post-hoc analysis. A critical need is to bring in disease area expertise and knowledge to these 

• Influence and contribute significantly to the strategic planning for brand plans associated with medical and scientific communications, aligning with the strategic imperatives 

• Provide consultation, input, and guidance to cross-functional groups charged with development and submission of manuscripts, posters, slide presentations, and abstracts

• Provide consultation, input, and guidance to cross-functional groups charged with exploratory analyses and lifecycle management projects/studies

• Establish and maintain collegial and collaborative relationships with cross-functional group members, Medical Affairs leaders, alliance partners, colleagues in worldwide affiliate countries, external medical writers, external experts, and authors

• Work with Publication Leads and team members to respond in a timely manner to journal editor and reviewer comments

• Review draft abstracts and manuscripts according to deadlines, and, when appropriate, serve as an author. In some cases, develop abstracts in close collaboration with external medical writers. Serve as group's expert on statistical methods sections

• As needed, support statistical analysis needs for dossier and/or response document submissions to HTA/payer bodies, independent therapeutic reviews (e.g. ICER), and analyses required by payers 

• Assign tasks and supervise the work of internal statistical and programming resources

• Review draft presentations and training materials, including posters and slide decks, according to deadlines

• As needed, provide consultant-level support for feasibility determinations for HEOR/HEVA studies, and consult regarding primary and secondary endpoints. Upon request, review concepts/protocols for Studies

• As needed, perform all activities listed above, in collaboration with external alliance partner companies

• Maintain expertise in current statistical methods and standards relevant to pharma and biotech industry applications

• Attend scientific congresses to provide statistical support for presentations and to gain insights of competitors’ statistical analyses

• Assist the Head of Biostatistics when requested in any of their job responsibilities

Knowledge and Skills

• Thorough and up-to-date knowledge of statistical methods, especially those related to human clinical studies; including composite endpoints, time-to-event and recurrent event analysis, binary, count, and categorical data analysis, longitudinal data analysis (e.g. LME, GEE), missing data methods, nonparametric methods, ANCOVA, responder and treatment failure analyses, data-mining techniques, meta-analysis, etc

• Thorough and up-to-date working knowledge of SAS and R, and CDISC standards. Hands-on statistical programming experience

• Demonstrated leadership, project management, and interpersonal and negotiation skill, with excellent verbal and written communication skills

• Relevant disease area knowledge working directly on clinical trial protocols and data reporting in industry setting

• Collaborative approach. Ability to thrive in a fast-paced team environment, and to work independently on projects

• Ability to manage effectively one's projects and quickly accommodate to changing priorities, and to meet tight deadlines while maintaining high quality standards

• Ability to explain strategies, approaches, methods, analyses, and findings to non-statisticians. Ability to help others interpret results and place in context

​Basic Qualifications

• PhD in Biostatistics or Statistics (or similar) and at least 8 years of experience designing and/or conducting statistical analyses based on experimental or observational data from human studies, including substantial experience designing and/or conducting statistical analyses from human Phase 3 or 4 clinical trial data, either pre-planned and post-hoc

•  OR

• Master's degree in Biostatistics or Statistics (or similar) and at least 12 years of experience designing and/or conducting statistical analyses based on experimental or observational data from human studies, including substantial experience designing and/or conducting statistical analyses from human Phase 3 or 4 clinical trial data, either pre-planned and post-hoc

Preferred Qualifications

• Basic qualifications plus:

• Experience in medical affairs activities

• Experience in reporting data on multiple long-term extension studies

• Specific knowledge and experience in analysis plans and techniques to support approved products in competitive markets

• Experience analyzing data from Oncology and Rare Blood Disorder studies

• Experience publishing results

• Experience working with external service providers, including project management, vendor management, and budget process

Why Chose Us

• Bring the miracles of science to life alongside a supportive, future-focused team.​​

• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally.​​

• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.​​

• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks’ gender-neutral parental leave.​

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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