Description

Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.

Our Clinical Development model brings the customer and the patient to the center of everything that we do. We are continuously looking for ways to simplify and streamline our work to not only make Syneos Health easier to work with, but to make us easier to work for.

Within Kinetic (a division of Syneos Health) our strength is the efficiency with which we deliver leading- edge products and support to those we serve. We're proud to set the standard for success in our industry.
As a Manager, Data Science, you will play a pivotal role within the Data Science team. You will be responsible for providing technical leadership, overseeing data science projects, and building innovative products.

Discover what our 29,000 employees, across 110 countries already know:
WORK HERE MATTERS EVERYWHERE

Why Syneos Health

• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.
• 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 responsibilities

• Support the technical development of data science and machine learning capabilities across the commercial organization, including patient journey analytics using Real-World Data (RWD) sources, predictive modeling at patient and provider level, provider/account segmentation, targeting, and market mix optimization.
• Lead a team of data scientists in designing, developing, and programing methods, processes, and systems to consolidate and analyze unstructured, diverse "big data" sources to generate actionable insights and solutions for client services and product enhancement.
• Contribute directly to the development of sophisticated models and the more advanced data science deliverables and assist team in interpreting and communicating insights and findings from analysis and experiments to product, service, and business managers.
• Mentor team and ensure adherence to established coding and ML standards, and actively engage with source control and change management processes.
• Be a though partner to business leaders regarding the development and application of data science products to our business.
• Routinely Interact with product and service teams to identify opportunities for data driven solutions and experiments.
• Have broad expertise or innovative knowledge, use skills to contribute to development of company objectives and principles and to achieve goals in creative and effective ways.
• Develop and maintain skills to the highest standards consistent with best practices and emerging trends in analytics and data science.
• Provide mentoring, coaching and career guidance to develop and retain talent.

Qualifications

What we're looking for

• Masters in a STEM field required, PhD preferred.
• 5+ years of data science experience with at least 1-2 years in a managerial role

• Hands-on experience with a programming language (e.g., Python, R) and common machine learning frameworks.
• Strong proficiency in building/training/evaluating applied machine learning models.
• Demonstrated experience leading teams to deliver data science projects.
• Able to influence and unify the direct team and peers, as well as interact effectively as a strategic partner with senior management.

• Must be organized, detail oriented and work effectively in a fast paced environment.
• Independent problem-solving and grit. Willingness to own one's work, and confidence to push best practices. Strong attention to detail.
• Relevant work experience in healthcare or campaign measurement, marketing analytics and resource optimization in the pharma domain is a plus.
• Ability to communicate data insights and data science concepts to senior technical and non-technical internal stakeholders and external clients.

AtSyneos 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 for this position ranges from $85,500 to $175,700. 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 .

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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