Position:
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Data Scientist
Company:
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Azurity Pharmaceuticals
Location:
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Woburn, Massachusetts, United States
Job type:
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Full-time
Job mode:
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Hybrid (2 days remote, 3 days onsite)
Job requisition id:
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Not specified
Years of experience:
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0-1 year (including internships/pre or post-graduation experience)
Company description:
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Azurity Pharmaceuticals is a leading specialty pharmaceutical company focused on addressing the unmet needs of patients through innovative therapies.
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They specialize in formulating high-quality medications tailored to the requirements of underserved patients in areas such as cardiovascular health, neurology, endocrinology, and more.
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Azurity’s product pipeline includes a diverse range of commercial products and late-stage development initiatives.
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Their work has positively impacted the lives of millions of individuals, improving access to reliable and effective medications.
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The company takes pride in its collaborative work culture, which thrives on integrity, innovation, and inclusivity.
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Azurity employs a patient-centric philosophy and leverages its integrated capabilities and wide partner network to remain at the forefront of the pharmaceutical industry.
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Employees are driven by a common purpose – to bring scientific excellence and quality care to those who need it most.
Profile overview:
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This entry-level data science role is designed for individuals who are passionate about using data to solve real-world problems in the pharmaceutical industry.
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The role involves the application of data science techniques and tools to clean, transform, analyze, and extract insights from both structured and unstructured datasets.
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The candidate will utilize tools such as Snowflake (including SnowPark ML), SQL, Python, and Palantir Foundry to develop and deploy data-driven solutions.
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You will work closely with engineering teams to bring machine learning models into production using platforms such as Azure and Palantir Foundry.
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Your contributions will play a vital role in supporting Azurity’s commercial strategies, enhancing operational efficiency, and ensuring data-driven decision-making.
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You will also design and analyze A/B experiments to evaluate the effectiveness of various business initiatives.
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Effective communication is key, as you’ll need to present your findings to technical and non-technical stakeholders.
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Continuous learning is encouraged as you stay updated with the latest advancements in AI, ML, and data science.
Qualifications:
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A Master’s degree in Data Science, Computer Science, or a related STEM field is required. Foreign equivalent qualifications are also accepted.
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Six months of experience in data analysis, statistical modeling, or a related analytical role through internships or projects (pre or post-graduation).
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Proficiency in object-oriented programming languages such as Python or C++, and solid knowledge of SQL for querying databases.
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Experience working with libraries and tools like Pandas, Numpy, Scikit-learn, PyTorch, and MLFlow is beneficial.
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Familiarity with Snowflake, especially SnowPark ML, and platforms like Palantir Foundry and Azure is preferred.
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The ideal candidate is analytical, detail-oriented, and eager to learn and grow within a dynamic pharmaceutical environment.
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Ability to work in an agile/scrum environment and follow software development lifecycle practices, including Git version control and Docker.
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Strong communication and collaboration skills are necessary to interpret business needs and present analytical solutions effectively.
Additional info:
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This position is based in Woburn, MA, and offers a hybrid work model (2 days remote, 3 days onsite), enabling flexibility and work-life balance.
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The role is full-time, with standard hours of 9:00 AM to 5:00 PM, 40 hours per week.
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Occasional travel is required for company-wide meetings held in different US locations.
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Competitive compensation is provided, with a base salary between $143,000 and $145,000, along with annual bonuses based on company performance.
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Comprehensive benefits include medical, dental, vision, and prescription coverage for employees and their families.
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Additional perks include 401K with company match, paid holidays (13 annually), vacation and wellness days, and office traditions like “Bagel Tuesdays.”
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The company also offers tuition reimbursement, a peer recognition program (Azurity High Five), and summer hours between Memorial Day and Labor Day.
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The role requires basic physical and mental capabilities, such as sitting for extended periods, using computers and phones, and occasionally lifting up to 25 pounds.
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Azurity is an Equal Opportunity Employer committed to inclusivity and diversity in the workplace.
Please click here to apply.
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