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Director Data Science Startup Jobs in Rhode Island

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

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Director Data Science Startup information

What are some unique challenges a Director of Data Science faces in a startup environment?

As a Director of Data Science in a startup, you will often need to balance hands-on technical work with strategic leadership, since resources and team sizes are usually limited. You'll likely be tasked with building and mentoring a team from the ground up, establishing best practices, and aligning data initiatives with fast-changing business goals. Additionally, you may need to advocate for data-driven decision-making across non-technical teams and adapt quickly as the company's priorities shift. This environment fosters rapid professional growth but requires flexibility, strong communication skills, and a willingness to wear multiple hats.

What is the difference between Director Data Science Startup vs Data Scientist?

AspectDirector Data Science StartupData Scientist
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentLeadership role overseeing teams, strategic planningHands-on data analysis, model development, research
Employer & Industry UsageStartups, tech companies, innovation-driven firmsVaries from startups to large corporations, research labs
Search & Comparison IntentUnderstanding leadership roles, strategic responsibilitiesTechnical skills, project work, data analysis

The Director Data Science Startup typically holds a leadership position with strategic oversight and team management responsibilities, requiring advanced degrees and experience. In contrast, a Data Scientist focuses on technical data analysis and model development, often with less emphasis on leadership. Both roles are common in startup environments and tech industries, but they differ significantly in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a Director of Data Science at a Startup, and why are they important?

To thrive as a Director of Data Science at a startup, you need deep expertise in statistical modeling, machine learning, and data strategy, often supported by an advanced degree in a quantitative field. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, GCP), and experience with data pipeline architectures are typically required. Strong leadership, communication, and business acumen are vital soft skills for aligning data initiatives with startup objectives and motivating cross-functional teams. These skills are crucial for driving product innovation, scaling data operations, and delivering actionable insights in a fast-paced, resource-constrained environment.

What does a Director of Data Science do at a startup?

A Director of Data Science at a startup leads the development and execution of data-driven strategies, overseeing teams of data scientists and analysts to drive business growth. They are responsible for aligning data initiatives with the company's goals, building predictive models, and ensuring the integrity and scalability of data solutions. This role often involves close collaboration with engineering, product, and executive teams to translate business needs into actionable data projects. Additionally, they help shape the data culture and mentor team members in a fast-paced, resource-constrained environment.
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Executive Director, Clinical Data Science

Eisai

Providence, RI

Full-time

Re-posted 29 days ago


Job description

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you.

We are seeking a visionary leader to shape and drive Clinical Data Science strategy across our global clinical development portfolio. This role ensures the rigorous application of statistical principles and advanced data science methodologies to optimize clinical trial efficiency and accelerate innovation. The Executive Director will spearhead the integration of AI/ML solutions for applications in disease diagnosis, modeling, imaging, genomics, proteomics, and precision medicine. Acting as the primary data science representative to global regulatory authorities, this individual will defend strategies and influence industry standards.

Strategic Leadership:

  • Define and execute Clinical Data Science strategies for clinical studies and development plans across the portfolio.
  • Serve as the primary spokesperson for Data Science at Health Authority meetings, leading preparation of responses and influencing regulatory perspectives.

Innovation & Execution:

  • Drive adoption of cutting-edge AI/ML methodologies for disease modeling, biomarker analysis, and precision medicine.
  • Oversee multiple large-scale, critical data science initiatives, ensuring timely, high-quality deliverables aligned with industry best practices.

Risk Management & Problem Solving:

  • Evaluate analytical options, proactively identify risks, and develop novel solutions to complex challenges.

Thought Leadership & External Engagement:

  • Represent the organization at technical seminars and conferences; build networks with industry experts to advance best practices.

Team Leadership & Development:

  • Manage and mentor a diverse team of data scientists and people managers across geographies.
  • Foster career growth through open dialogue, performance management, and strategic development planning.

Operational Excellence:

  • Ensure GxP compliance in data science programming for clinical trials.
  • Manage budgets, vendor relationships, and third-party deliverables to maintain quality and efficiency.

Executive Communication:

  • Deliver clear, compelling communication of complex data science concepts to internal and external stakeholders with executive presence.

Qualifications

  • Ph.D. in Biostatistics or a Master's Degree in Biostatistics in combination with a Ph.D.in Bioinformatics or related computational sciences.
  • Deep expertise in statistical methods and their application in clinical trials.
  • Minimum 10 years of industry experience in clinical development, including Data Science and Biostatistics.
  • Recognized thought leader in at least one data science discipline (e.g., AI/ML modeling, precision medicine).
  • Proven experience presenting at external forums and influencing regulatory authorities.
  • Strong people leadership experience in a Data Science setting.
  • Prior research experience in neurology, particularly Alzheimer's disease biomarkers (plasma, CSF, imaging), strongly preferred.

Eisai Salary Transparency Language:

The annual base salary range for the Executive Director, Clinical Data Science is from :$273,200-$358,600Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan.

Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills.

Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://careers.eisai.com/us/en/compensation-and-benefits.

Certain other benefits may be available for this position, please discuss any questions with your recruiter.

Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans.

Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

Right To Work

E-Verify Participation


Eisai logo

About Eisai

Sourced by ZipRecruiter

Eisai is a global pharmaceutical company (headquartered in Woodcliff Lake, NJ, US), renowned for its innovative research and development in neuroscience and oncology. The primary focus of the company is to provide therapeutic treatments and solutions for diseases like Alzheimer's, cancer, and other neurological disorders. Eisai was founded in Japan in 1941 and has since developed a strong presence across international markets. Eisai's core values center around their philosophy of 'human health care' (hhc), where they aim to make significant and positive contributions to patients and their families' healthcare worldwide.

Company size

1,001 - 5,000 Employees

Headquarters location

Nutley, NJ, US

Year founded

1995

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