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AI and Data Science Technical Analyst-Manager Job Opening In Cambridge – Now Hiring Sanofi Group


Job description

**Job Title:** AI and Data Science Technical Analyst-Manager

**Location:** Cambridge, MA

**About the Job**

**About Sanofi:** Sanofi is a global leader in healthcare, dedicated to improving lives through scientific innovation.

Our mission is to chase the miracles of science to improve people’s lives.

We are expanding across borders and transforming healthcare for all.

People are the most critical ingredient to our success.

**About E.D.G.E.:** Sanofi’s E.D.G.E. Team (Emerging Disruptive Growth Exploration) conducts cutting-edge research in healthcare and incubates data-driven solutions to improve health outcomes, support families, enhance clinicians’ experiences, and reduce healthcare costs.

We are actively incubating multiple concepts to improve lives globally, especially for underserved populations.

We are seeking an experienced AI & Data Science Technical Analyst/Manager to lead technical product management functions in a cross-functional pod of Computational Scientists, Data Scientists, and AI/ML Engineers.

This role is pivotal in guiding the development of data and AI products that will revolutionize our data product pipelines.

You will be responsible for defining the product vision, strategy, and roadmap for our AI-driven solutions, translating complex scientific and business challenges into actionable product plans.

You will orchestrate the work of a team that uses clinical and real-world data to create innovative data products and projects.

Your leadership will ensure that our versatile teams deliver innovative, production-ready models and solutions that provide a competitive advantage for Sanofi.

We are an innovative global healthcare company with a focus on immunology that extends to innovation in diabetes and transplant medicine.

Across different countries, our talented teams are determined to deliver a best-in-class customer experience using the best of digital, artificial intelligence and personal know-how.

With a focus on immunology that extends to innovation in diabetes and transplant medicines, we pursue progress to make a real impact on millions of patients around the world.

**Main Responsibilities:**

+ Product Vision and Strategy: Assist in the definition and communicate a clear product vision and strategic roadmap for AI and data science initiatives, aligning with the broader goals of EDGE, Digital, R&D and business stakeholders.
+ Roadmap and Execution: Manage the entire product lifecycle, from ideation and scoping to delivery and iteration.

Break down complex problems into effective, actionable steps for the technical team.
+ Cross-Functional Leadership: Lead and collaborate with a team of data scientists, computational scientists, engineers, and MLOps professionals to develop, test, and deploy AI/ML solutions into product teams.
+ Stakeholder Management: Serve as the primary point of contact between the technical team and non-technical stakeholders, including researchers, clinicians, and business unit leaders.

Translate and champion the team's advanced analytics capabilities and results to a broader audience.
+ Requirement Definition: Work with stakeholders to identify areas for data-driven improvement, gathering requirements and translating them into technical specifications and user stories for the development team.
+ Process Management: Implement and oversee agile methodologies to manage workflow and ensure the timely delivery of high-quality data products, from preparing common data models to deploying production-ready models.
+ Data and Technology Oversight: Guide the team in leveraging diverse and large-scale biomedical datasets, including electronic health records (EHRs), clinical trial data, and real-world evidence.

Ensure the adoption of a leading-edge tech stack and foster an environment of continuous learning and improvement.

**About You**

**Key Requirements & Qualifications:**

+ Educational Background: A degree in a quantitative or technical field such as Computer Science, Engineering, Statistics, or significant experiences in technical/digital industries, preferably with advanced degrees.
+ 8 years of Product Management Experience: Proven experience in a technical product management role, preferably in an agile environment, with a track record of launching production-level code and data-driven products.
+ Technical Fluency: Strong understanding of the data science and machine learning landscape.

You should be familiar with concepts such as supervised/unsupervised learning, deep learning, NLP, and MLOps.

While you won't be coding daily, you must be comfortable discussing technical approaches and challenges with engineers and scientists.
+ Domain Knowledge: Experience with healthcare data sources, such as electronic health records (EHRs), clinical trial data, or other biomedical datasets is highly preferred.
+ Leadership and Communication: Demonstrated ability to lead cross-functional teams and collaborate effectively.

You possess excellent written and verbal communication skills, with a talent for data storytelling and translating complex technical concepts for non-technical audiences.
+ Problem-Solving Skills: A passion for solving complex problems with a desire to make a tangible impact on patient outcomes.

**Preferred Skills:**

+ Familiarity with data science languages and tools such as Python, R, JIRA, Confluence.
+ Knowledge of big data analytics platforms and ML libraries (e.g., Databricks, SageMaker, TensorFlow, PyTorch).
+ Experience with data visualization tools like Tableau, Plotly, or Streamlit.
+ Experience in the software/digital development and pharmaceutical industries and a solid understanding of the clinical research process.

**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.

#GD-SG
#LI-GZ

#LI-Onsite
#vhd

**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 (https://www.youtube.com/watch?v=SkpDBZ-CJKw&t=67s) and check out our Diversity Equity and Inclusion actions at sanofi.com (https://www.sanofi.com/en/our-responsibility/equality-and-inclusiveness) !

_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:

$125,250.00 - $180,916.66

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 (https://benefits.sanofiusallwell.com/fleet/public/index/ba511bf8-5c32-4828-9861-ab985fffab90/?cid=sanofi) .

Global Terms & Conditions and Data Privacy Statement (https://www.sanofi.com/en/careers/global-terms-and-conditions/)

Sanofi is dedicated to supporting people through their health challenges.

We are a global biopharmaceutical company focused on human health.

We prevent illness with vaccines, provide innovative treatments to fight pain and ease suffering.

We stand by the few who suffer from rare diseases and the millions with long-term chronic conditions.

With more than 100,000 people in 100 countries, Sanofi is transforming scientific innovation into healthcare solutions around the globe.

Discover more about us visiting www.sanofi.com or via our movie We are Sanofi (https://youtu.be/96EwNjb1TLo)

As an organization, we change the practice of medicine; reinvent the way we work; and enable people to be their best versions in career and life.

We are constantly moving and growing, making sure our people grow with us.

Our working environment helps us build a dynamic and inclusive workplace operating on trust and respect and allows employees to live the life they want to live.

All in for Diversity, Equity and Inclusion at Sanofi - YouTube (http://www.youtube.com/watch?v=SkpDBZ-CJKw&t=2s)

Required Skill Profession

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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Sanofi Group adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

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5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Cambridge. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for AI and Data Science Technical Analyst Manager typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Sanofi Group interview tips for AI and Data Science Technical Analyst Manager

Here are some tips to help you prepare for and ace your AI and Data Science Technical Analyst Manager job interview:

Before the Interview:

Research: Learn about the Sanofi Group's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

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To prepare for your AI and Data Science Technical Analyst Manager interview at Sanofi Group, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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