Job Title: mRNA Process Development - Scientific Data Acceleration Lead

Location: Waltham, MA

About the Job

 

 Our mRNA Data Continuum Ambition

 

With its long-standing expertise in developing and commercializing vaccines and other innovative medicines on a global scale, Sanofi has created a Center of Excellence (CoE) to accelerate innovation in the mRNA space.

 

At Sanofi, we believe that Data Analytics and Artificial intelligence (AI) can transform how we discover, develop, and deliver therapies. To achieve this vision, we need to establish a common data continuum ecosystem across diverse teams, including Research & Biomarkers (R&B), Process Development & Industrialization (PD&I), Analytical Sciences (AnSci), Clinical, Manufacturing, and various internal/external sites.

 

This role combines scientific expertise with data management capabilities to accelerate mRNA research and development outcomes and improve data (re-)utilization across scientific & AI projects.

 

A key mission of the Process Development and Industrialization (PD&I) Data Acceleration Lead is therefore to serve as a key liaison between R&D teams and Digital & Data Sciences departments.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

 

Main Responsibilities

 

Champion data hygiene

In scope:

Act as Business Analyst within his / her department to examine data practices, from data capture, data transformation, data interoperability and data consumption (including visualization)

Drive the adoption of best practices for data quality, integrity and reusability (FAIR principles).

Identify opportunities to improve the data integrity avoiding manual re-transcription or duplication of data

Evaluate solutions and business processes gaps to improve data interoperability across teams & digital systems

Drive data standardization efforts within his /her department. Identify Critical Data Elements, propose nomenclatures and data quality rules for data packages under their responsibility.

Collaborate with Data Stewards on Data Cataloguing and Remediation activities to improve data accessibility & quality.

Contribute to good Data Processing and Transformation practices and to the creation of reusable data processing pipelines by

Providing domain expertise to guide the development of digital / data applications in their research areas

Identifying metadata needs

Defining data processing workflows with SME

If capable, establish a first data transformation script. Alternatively, work with digital savvy teams, review and refine data transformation processes. Participate in their documentation.

Deploying within their supported team

 

Nice to have :

Self-Development of analysis scripts, protocols or API using python code or equivalent programming language. Development of such scripts should / can be done by / in partnership with Data & Digital teams

 

 

Out of scope :

Accountable for the creation of business processes (->Head of lab unit is)

Decide and validate nomenclature and data quality rules (-> Data Domain owner are accountable for that)

Remediate Data Quality Issues (->Data Stewards responsibility)

Monitoring of Data Quality

Maintenance / Ingestion of files generated by scientists outside of target digital systems (Benchling, iLab, Apprentice, etc …)

 

Bridge scientific needs with digital / data teams 

 

In Scope :

Evaluate scientific readiness and business process maturities and identify related Digital / Data gaps.

Map as-is and to-be data flow. Create associated users’ stories. May create mock-up of the target data viz solution. Collaborate with Data / Digital teams to develop it.

Advise Digital teams on the relevance of the solution they develop. Provide feedback on usability and functionality. Engage scientists to test the solution during development.

Lead the deployment within their respective teams of the solution when developed, including Training, User Adoption, Change narrative. Oversee the adoption of new technologies and methodologies to speed up data-driven discoveries.

Foster a culture of change within their scope of responsibilities

Nice to have :

Stand-alone development of data analytics or data viz solutions using low code / no code solutions. Data viz solutions should / can be developed by / in partnership with Digital / Data team to ensure scalability & viability of the solution

Out of scope:

Self-Resolution of Digital source systems gaps

Self-Development of digital solutions impacting data capture and data model

Contribute to Digital / Data strategy

In scope :

Collaborate with mRNA CoE Digital Lead & Digital partners to establish and maintain up to date CoE and team specific digital roadmaps in line with digital transformation goals, technology maturity and resources.

Advocate for the value and purpose of digital transformation at the local function site. Contribute to overall value realization & impact quantification by participating in the definitions of metrics & OKRs

Contribute to the Measurement within their local team (customer satisfaction surveys, Data related OKRs, productivity, etc.).

Advise and influence business priorities based on the understanding of their team needs and process / scientific maturity.

Out of scope :

Decide on business priorities, which is the accountability of the CoE Digital Lead in line with Department heads. SDAL however advise and influence based on their understanding of their team needs and process / scientific maturity.

About You

Experience:

A minimum of 5 years of experience as business analyst, data analyst, data management, bioinformatics or related fields in pharmaceutical research and development environment is expected

Technical & Scientific Skills

Ability to use data visualization tools (e.g., PowerBI, Tableau) is a must have

Ability to build data visualization tools (e.g., PowerBI, Tableau) is a nice to have

Ability to write Python scripts, protocols, API or digital solutions is a nice to have

Knowledge of R&D business process and data (e.g., across research, CMC, clinical etc)

Experienced in working in an agile environment (knowledge of Jira is a plus)

Soft Skills

Demonstrated ability to understand end-to-end data use and business needs

Demonstrated strong attention to detail, quality, time management and customer focus

Excellent verbal and written communication and data presentation skills, including experience communicating with business and technical teams

Strong networking, influencing and negotiating skills and superior problem-solving skills

Demonstrated willingness to make decisions and to take responsibility for such

Excellent interpersonal skills (team player)

Critical Thinking

 

Education

Bachelor or Master Degree in Computer Science or equivalent degree

 

 

Languages:

Excellent knowledge of English language (spoken and written)

French is a plus

Why Choose 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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Pursue progress, discover extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity.

Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

US and Puerto Rico Residents Only

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; 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.

North America Applicants Only

The salary range for this position is:

$84,000.00 - $121,333.33

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.