Principal Data Scientist

ZipRecruiter; Manchester; On-site; GBP 70,000 - 100,000; Full time

Job summary

Sequel Med Tech is looking for a Principal Data Scientist to lead data strategy in healthcare, focusing on diabetes solutions. This role involves collaboration with product teams, ensuring data quality, and mentoring junior staff. Join a diverse team committed to innovation in healthcare.

Benefits

401(k) plan with 6% company match

Capped insulin costs

GLP-1 coverage

Multiple medical plans via Aetna

Vision and dental insurance

Flexible PTO

Paid holidays

Qualifications

• 10+ years in data science, including 3 years in healthcare.
• Experience in agile product environments and team management.

Responsibilities

• Collaborate with leaders to identify healthcare problems solvable by data.
• Oversee data science initiatives including data acquisition and modeling.
• Mentor early-career data scientists and engineers.

Skills

Data Manipulation

Data Analysis

Project Management

Communication

Education

Master’s degree in Computer Science

Ph.D. preferred

Tools

Big Data Technologies

Cloud Platforms

Machine Learning Algorithms

Job description

Job Description

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 lead the design, development, and implementation of our long-term data strategy while supporting short-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, enhancing Sequel’s data and reporting capabilities, and working directly with product teams as a subject matter expert on feature design and implementation. The successful candidate will be a versatile data science and digital health professional, partnering with leadership to define vision and roadmaps, and collaborating with product teams in an agile, iterative manner. This role emphasizes shared ownership, accountability, individual and team empowerment, and a culture of collaboration and continuous improvement. Although initially an individual contributor role, there is potential for growth into a leadership position as the data science community develops.

Job Responsibilities and Essential Duties

1. Collaborate with business leaders, technical teams, customers, and stakeholders to identify healthcare problems solvable by data, translating these into data science questions and engineering requirements.
2. Communicate complex data insights effectively to clinical and business leaders to inform decision-making.
3. Partner with technical teams to ensure data-driven functionalities are properly designed, implemented, tested, and compliant with quality, integrity, and privacy standards.
4. Oversee data science initiatives including data acquisition, cleaning, feature engineering, modeling, evaluation, and deployment across healthcare and business domains.
5. Ensure quality, impartiality, and accessibility of data products.
6. Develop best practices in data science to support organizational growth.
7. Mentor engineering peers and early-career data scientists and engineers, fostering technical expertise and awareness across the team.

Minimum Requirements

• 10+ years in data science, including:
• At least 3 years in healthcare, with experience in patient- and clinician-facing applications.
• At least 5 years operating in an agile product environment.
• 2 years managing teams or mentoring early-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 relevant programming languages, with strong data manipulation and analysis libraries.
• Expertise in big data technologies and cloud platforms, with ability to learn new systems rapidly.
• Experience bringing data products from inception to deployment, collaborating with product teams for customer solutions.
• Understanding of clinical data structures, coding systems, and healthcare terminology; diabetes experience highly desirable.
• Knowledge of healthcare regulations and ethical standards concerning patient data.
• Ability to communicate complex technical concepts clearly to non-technical stakeholders.
• Strong project management skills to lead cross-functional teams and deliver projects on time and within budget.
• Knowledge of machine learning algorithms such as regression, classification, and clustering.

Sequel Med Tech is an equal opportunity employer, committed to diversity and inclusion. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic.

Our benefits include a 401(k) plan with a 6% company match and immediate vesting, capped insulin costs, GLP-1 coverage, multiple medical plans via Aetna, vision and dental insurance, short-term disability, and voluntary benefits like accident and pet insurance. Enjoy flexible PTO and paid holidays in a supportive, collaborative culture. Join us and grow your career while making a difference in healthcare!

Environmental/Safety/Physical Work Conditions

• Promote environmental consciousness and safe practices.
• Use of computer, telephone, and office accessories for work tasks.
• May require extended hours during busy periods.
• Physical requirements may include lifting specific weights.
• Some travel may be necessary.