Syneos Health

Sr Data Scientist (Optimizations)

Job description


JOB TITLE: Sr Data Scientist (Optimizations)

Syneos Health is the only fully integrated biopharmaceutical solutions organization purpose-built to accelerate customer success. We lead with a product development mindset, seamlessly connecting our capabilities to add high-value insights to speed therapies to patients and provide practical value to help our customers achieve their objectives.

Every day we perform better because of how we work together, as one team, each the best at what we do. We bring many talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life®.

Discover what our 30,000 employees, across 110 countries already know:


Why Syneos Health

  • #SyneosHealthLife means we’re committed to our Total Self-culture – where everyone can authentically be themselves. Our Total Self-culture is what unites us globally, and we know every person’s unique contributions make a difference.
  • We believe our success is a direct result of the people who are driving it – you! We value your dedication to caring for our customers and patients, so we want to focus on taking care of you. That’s why we offer a comprehensive benefits program encompassing your total health - physical, mental, and financial.
  • We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we’re able to create a place where everyone feels like they belong.

Job Summary

We are seeking an experienced Optimization Data Scientist to join our dynamic Data Science team at Syneos Health. In this pivotal role, you will work closely with our data science team to develop and implement advanced optimization algorithms that enhance our operational efficiency and decision-making processes. Your expertise will be crucial in transforming complex business problems into optimized solutions using cutting-edge techniques and tools. This position offers a unique opportunity to lead the charge in leveraging optimization methodologies to drive substantial business value.

Job Responsibilities

  • Design and develop optimization models to improve business processes and decision-making across various functional areas.
  • Collaborate with cross-functional teams to identify opportunities for optimization and to integrate these solutions effectively within our existing systems.
  • Implement and refine algorithms that support operations research, including linear programming, integer programming, heuristic and metaheuristic methods.
  • Conduct rigorous testing and validation of optimization models to ensure robustness and scalability.
  • Utilize predictive analytics and machine learning alongside optimization techniques to enhance model accuracy and performance.
  • Document and communicate complex optimization solutions clearly to both technical and non-technical stakeholders.



  • A bachelor’s degree in Operations Research, Industrial Engineering, Mathematics, Computer Science, or a related field is required. A master’s degree or PhD is highly desirable.
  • Proven experience as a Data Scientist or Operations Research Analyst, with a strong focus on optimization techniques.
  • Deep understanding of optimization algorithms and their application in real-world scenarios.
  • Proficiency in programming languages commonly used in data science and optimization such as Python (with libraries like PuLP, Pyomo).
  • Experience with machine learning frameworks and their integration with optimization solutions is a plus.
  • Excellent problem-solving skills, attention to detail, and the ability to think critically and creatively.
  • Strong communication skills, capable of effectively articulating complex solutions and influencing decision making.

Tech Stack

  • Python
  • Optimization libraries (PuLP, Pyomo, SciPy)
  • Machine Learning frameworks (e.g., scikit-learn)
  • Predictive analytics tools
  • Azure

At  Syneos Health, we believe in providing an environment and culture in which Our People can thrive, develop and advance. We reward and recognize our people by providing valuable benefits and a quality-of-life balance. The benefits for this position include a company car or car allowance, Health benefits to include Medical, Dental and Vision, Company match 401k, eligibility to participate in Employee Stock Purchase Plan, Eligibility to earn commissions/bonus based on company and individual performance, and flexible paid time off (PTO) and sick time. Because certain states and municipalities have regulated paid sick time requirements, eligibility for paid sick time may vary depending on where you work. Syneos complies with all applicable federal, state, and municipal paid sick time requirements.

The annual base salary (US Only) for this position ranges from $102,600 to $178,600. The base salary range represents the anticipated low and high of the Syneos Health range for this position. Actual salary will vary based on various factors such as the candidate’s qualifications, skills, competencies, and proficiency for the role.

Get to know Syneos Health

Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

Additional Information

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

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