Principal Data Scientist

Job Posted 12 Days Ago Posted 12 Days Ago
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Manchester, NH
Senior level
Healthtech • Manufacturing
The Role
The Principal Data Scientist will design, develop, and implement a long-term data strategy for Sequel Med Tech, focusing on data science initiatives in healthcare. Responsibilities include collaborating with business leaders, ensuring data quality and integrity, guiding data science practices, and mentoring junior team members. The role requires extensive experience in data science, especially within healthcare, along with strong project management skills.
Summary Generated by Built In

About Sequel 

Sequel Med Tech is an early-stage company developing the next generation of precision drug delivery devices. 

Job Overview 

Sequel Med Tech is seeking an experienced data scientist to spearhead the design, development, and implementation of our long-term data strategy while supporting shorter-term data needs for our digital health portfolio. As our first Principal Data Scientist, you will play a pivotal role in shaping the future of healthcare for people living with diabetes, upskilling Sequel’s broader data and reporting capabilities while also working directly with our product teams as a subject matter expert on feature design and implementation. The successful candidate will be a data science and digital health utility player. You will partner with the Technology and Operations leadership team to define a vision and roadmap and then work (virtually) side-by-side with the product teams to execute that strategy in an agile, iterative manner. If you value shared ownership and accountability, individual and team empowerment, and a culture of collaboration and continuous improvement, then this is the job for you. 

While this is an individual contributor role today, we anticipate that this individual will grow into a leadership role as they help to build our data science community.

Job Responsibilities and Essential Duties 

  • Work closely with business leaders, technical teams, customers, and other stakeholders to identify opportunities to solve healthcare problems with data and to translate those opportunities into data science questions and data engineering requirements. 
  • Communicate complex data insights to clinical and business leaders to inform decision-making. 
  • Partner with technical teams to ensure data-driven functionality is designed, implemented, tested, and released with proper consideration to data quality, integrity, compliance, and use. 
  • Oversee the design, development, and implementation of data science initiatives, including data acquisition, cleaning, feature engineering, model building, evaluation, and deployment across various healthcare and business domains. 
  • Ensure quality, inclusion, impartiality, and accessibility in delivered products. 
  • Develop best-in-class data science practices to support a rapidly growing organization. 
  • Guide and mentor engineering peers and future earlier career data scientists and engineers, providing technical expertise and developing data science awareness and capabilities across the team. 

Minimum Requirements 

  • 10+ years’ experience in data science with a minimum: 
    • 3 years’ experience in healthcare, including both patient- and clinician-facing applications. 
    • 5 years’ experience operating in an agile product environment. 
    • 2 years’ experience managing teams or developing earlier career data scientists and engineers 
  • Master’s degree in Computer Science, Mathematics, Machine Learning, or a related field. Ph.D. preferred.

Required Knowledge, Skills and Abilities 

  • Proficiency in applicable programming languages, with strong knowledge of data manipulation and analysis libraries. 
  • Expertise in big data technologies and cloud computing platforms with a demonstrated ability to learn new systems and technologies in a rapidly evolving field. 
  • Experience bringing data products from 0-1, including partnering with product teams to translate to tangible solutions for customers. 
  • Understanding of clinical data structures, coding systems, and healthcare terminology. Diabetes experience highly preferred.
  • Awareness of healthcare regulations and ethical considerations related to patient data.
  • Ability to clearly communicate complex technical concepts to non-technical stakeholders.
  • Strong project management skills to lead cross-functional teams and deliver data science projects on time and within budget. 
  • Knowledge of machine learning algorithms (regression, classification, clustering, etc.). 

Sequel Med Tech provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. 

At Sequel, we believe that when you thrive, we thrive. That’s why we’ve designed a benefits package that’s as thoughtful as it is generous. From day one, you’re automatically enrolled in our 401k plan—no waiting, no worries—with a 6% company match and 100% immediate vesting. We prioritize your well-being, especially for our employees and their families living with diabetes, with capped out-of-pocket insulin costs and GLP-1 coverage across all plans. With multiple medical plans through Aetna, including a 100% company-paid high deductible plan paired with employer HSA contributions, you can select what suits your needs. Additional benefits include vision and dental plans, employer-paid short-term disability, and voluntary options like accident and pet insurance.

Need time to relax and recharge? You’ll enjoy flexible PTO and generous paid holidays, all while being part of a culture that values hard work, fun, and support. We don’t just offer jobs—we offer careers that build futures. Join us, and let’s grow together!

Environmental/Safety/Physical Work Conditions 

  • Ensures environmental consciousness and safe practices are exhibited in decisions 
  • Use of computer and telephone equipment and other related office accessories/devices to complete assignments 
  • May work extended hours during peak business cycles 
  • Physical requirements such as lifting specific weights 
  • Some travelling is expected 

Top Skills

Big Data Technologies
Cloud Computing Platforms
Data Manipulation Libraries
Machine Learning
Python
R
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The Company
HQ: Manchester, NH
28 Employees
Hybrid Workplace
Year Founded: 2023

What We Do

We’re Sequel — a driven team of innovators and problem solvers laser-focused on improving the health and lives of people with diabetes. We’re redefining what diabetes care looks like — so the next chapter is the best.

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