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Sr. Data Scientist, Rare Diseases

Chiesi
Boston, MA Full Time
POSTED ON 3/3/2024 CLOSED ON 3/7/2024

What are the responsibilities and job description for the Sr. Data Scientist, Rare Diseases position at Chiesi?

About us

Based in Parma, Italy, Chiesi is an international research-focused pharmaceuticals and healthcare group with over 85 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 awarded B 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 to embrace 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."

Purpose

Chiesi Global Rare Diseases division currently has an opening for a newly created role of Senior Data Scientist, reporting to the Director, Business Knowledge & Operations - Rare Disease.


The Sr. Data Scientist 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 Sr. Data Scientist 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 Sr. Data Scientist 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 for application in patient support programs
* 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 across Company's portfolio of medicines
* Create insightful visualizations that can help a non-technical audience make sense of complex datasets
* Proactively identify business opportunities for leveraging data science 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

Experience Required

* 3 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)
* 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 disciplin

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, sexual orientation, marital status, veteran status, gender identity or expression or 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.

 

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