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Director Science Jobs in Massachusetts (NOW HIRING)

Director, Data Science

Boston, MA · On-site +1

$126K/yr

The Role This is an individual contributor data science role.In this role, the individual leads machine learning projects with diverse scope and complex business and technical challenges. Coordinates ...

We seek a Director of Data Science to lead our global team of US and Europe-based data scientists specializing in Low Molecular Weight (LMW) drug development who will guide the LMW data science team ...

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

To thrive as a Director of Science, you need an advanced degree in a scientific discipline, extensive research experience, and strong leadership abilities. Familiarity with data analysis software, scientific publishing tools, and project management systems is typically required. Exceptional communication, strategic thinking, and team-building skills help drive innovation and foster collaboration among interdisciplinary teams. These competencies are crucial for setting research direction, achieving organizational goals, and ensuring scientific excellence.

What are the primary challenges a Director of Science faces when leading multidisciplinary research teams?

A Director of Science often navigates the complexities of coordinating experts from various scientific backgrounds, ensuring effective communication and integration of diverse perspectives. Balancing project timelines with the rigorous standards of scientific research can be demanding, especially when managing multiple projects simultaneously. Additionally, securing funding and aligning research objectives with organizational goals require strategic planning and stakeholder management. Building a collaborative culture and fostering professional development within the team are also essential for long-term success.

What does a Director of Science do?

A Director of Science leads and oversees scientific research and development within an organization, ensuring projects align with strategic goals. They manage scientific teams, set research priorities, and often collaborate with other departments or external partners. This role involves supervising experiments, securing funding, and ensuring compliance with regulations and ethical standards. Directors of Science also play a key role in translating scientific findings into practical applications or products. Their leadership is crucial for driving innovation and maintaining the organization's scientific excellence.

What is the difference between Director Science vs Research Scientist?

AspectDirector ScienceResearch Scientist
Required CredentialsAdvanced degrees (PhD), leadership experienceTypically PhD or Master's, specialized research skills
Work EnvironmentStrategic planning, team management, cross-department collaborationLaboratory or field research, data analysis
Employer & Industry UsageBiotech, pharmaceuticals, research institutionsAcademic, industry R&D, government labs

The main difference between a Director Science and a Research Scientist lies in their focus and responsibilities. Directors Science oversee research strategies, manage teams, and coordinate projects, while Research Scientists conduct experiments, analyze data, and contribute to scientific knowledge. Both roles require advanced degrees, but Directors have more leadership and strategic duties.

What are the most commonly searched types of Science jobs in Massachusetts? The most popular types of Science jobs in Massachusetts are:
What cities in Massachusetts are hiring for Director Science jobs? Cities in Massachusetts with the most Director Science job openings:
Infographic showing various Director Science job openings in Massachusetts as of May 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution.

Director, Data Science

Fidelity Investments

Boston, MA • On-site, Remote

$126K/yr

Full-time

Medical, Retirement, PTO

Posted 24 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services


Job description

Job Description:

The Role

This is an individual contributor data science role.In this role, the individual leads machine learning projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs.Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems.

You will have:

  • PhD or Master's in ML, Computer Science, Statistics, Physics, or Finance (with a background in Statistics or ML), with 6+ years plus of industrial experience.
  • Deep expertise in Python, data-centric ML techniques including engineering principles for building efficient inference tools
  • Experience taking a model from research to production and realizing measurable value from it to the team or firm
  • Ability to work on and drive progress for multiple projects at the same time
  • Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions
  • Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results
  • Excellent planning, project management, leadership, and research skills
  • Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations
  • Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research to real-world data challenges
  • Experience or strong interest in quantitative finance and modeling financial markets


The Team

We are a data science team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from research to production. We enjoy learning new skills and have incorporated LLM use cases into our pipeline, amongst other emerging technologies.

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The base salary range for this position is $126,000-255,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:Category:Data Analytics and Insights

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