Data Science Manager Position Available In Suffolk, Massachusetts

Data Science Manager Chiesi remote work United States, Massachusetts, Boston One Boston Place, Suite 4000 (Show on map) Jun 11, 2025 About us Based in Parma, Italy, Chiesi is an international research-focused pharmaceuticals and healthcare group with 90 years’ experience, operating in 30 countries with more than 6,000 employees (Chiesi Group). To achieve its mission of improving people’s quality of life by acting responsibly towards society and the environment, the Group research, develops and markets innovative drugs in its three therapeutic areas: AIR (products and services that promote respiration, from new-born to adult populations), RARE (treatment for patients with rare and ultra-rare diseases) and CARE (products and services that support special care and consumer-facing self-care). We are proud to be the largest global pharmaceutical group to be awardedB Corp Certification, a recognition of high social and environmental standards. We are a reliable company that adopts and promotes transparent ethical behavior at all levels. We are committed toembrace diversity, inclusion and equal opportunities. In fact, we are a global family made up of different cultures, different genders, generations, ethnicities, abilities, sexual identities and many other enriching diversities. Chiesi USA Chiesi USA is a specialty pharmaceutical company focused on developing and promoting products for the hospital, adjacent specialty and rare disease markets. We are a B Corp and Benefit company awarded Top Employer status for six consecutive years and certified as a Great Place to Work. At Chiesi, we share an entrepreneurial spirit and act as a force for good, pursuing high social and environmental standards, to ensure the wellbeing of our people, patients, and communities. We offer a work environment where professionals have the opportunity to build a purposeful career focused on helping others while achieving a fulfilling work-life balance, meeting exciting challenges, and engaging in important and rewarding work. What we offer Chiesi offers competitive benefits, services, and programs that enrich the personal and professional lives of our employees. Our shared values of passion, innovation, trust and integrity bring out the individual talents and diverse perspectives of each of our colleagues. Our environment encourages each individual to reach his or her full potential and drive outstanding results. We celebrate that “Every one of us is different. Every one of us is Chiesi.” Who we are looking for Purpose Chiesi Global Rare Diseases division currently has an opening for a newly created role of Data Science Manager, reporting to the Head of Commercial and Operational Excellence – Rare Disease. The role is responsible for the application of advanced analytics to claims datasets and the synthesis of insights. This role will leverage cutting edge data science technologies and methods to help business leaders across the company make appropriate data-driven decisions. The role will play a key role in identifying opportunities for machine learning and will be an advocate for the power of data science. The role involves the full lifecycle from ideation to requirements elicitation, design, implementation, and rollout of solutions. The role will collaborate with other stakeholders across the business to evaluate opportunities and drive growth for our brands. This role is based in our office in Boston, MA office, with the flexibility to work from home. Candidates must be available to visit the Boston office as needed. Main Responsibilities Develop a deep understanding of available data sources, including data capture methodologies, sampling requirements, and descriptive statistics
Implement advanced analytics in support of our commercial teams, including explorative applications of machine learning, deep learning, and artificial intelligence
Utilize machine learning to build predictive models
Ability to build and fine tune algorithms that scale up from small-scale proof-of-concept stage to full production systems
Develop automated capabilities which enable the application of machine learning and AI across the Business Unit
Create insightful visualizations that can help a non-technical audience make sense of complex datasets
Proactively identify business opportunities for leveraging data science and data mining efforts to solve unmet medical needs; support the analysis of claims data to generate market insights
Identify and shape business challenges and opportunities into analytical, data lead solutions, ranging from scoping and evaluating data opportunities to developing data-driven insights, data models and recommendations to fuel strategic growth
Support ad hoc projects and tasks as needed
Support the Therapeutic area of election
Provide analytics support to RWE team
Work on support and provide insight for the whole BU in spite of the region or country in which the data is from Experience Required 5+ years’ experience in predictive modeling, deploying algorithms in a production environment
Hands on experience with data mining, its concepts, techniques, and implementation
Track record of innovating through machine learning and statistical algorithms and their applications
Experience in biotech / pharmaceuticals preferred
Direct experience claims data analysis is a plus
Knowledge and familiarity with deep learning and its use is a plus
Expert at Microsoft Office (Word, Excel, PowerPoint, Outlook)
Programming language proficiency (i.e., Python, R, SQL, C++, etc.)
Ability to manage multiple projects in an ambiguous environment with shifting priorities and time-pressure
Ability to translate data analysis into actionable insights and strategy
Excellent problem-solving capabilities
Strong communication skills (verbal and written); proven ability to work cross functionally and liaise across a complex set of stakeholders Education BA/BS in Statistics, Operational Research, Computer Science, or other quantitative discipline Chiesi USA is an equal opportunity employer committed to hiring a diverse work force at all levels of our business. All qualified applicants receive consideration for employment without regard to race, national origin, age, sex, religion, disability, marital status, veteran status, any other basis protected by local, state or federal law. This policy applies with regard to all aspects of one’s employment, including hiring, transfer, promotion, compensation, eligibility for benefits and termination.