EVERSANA · 6 hours ago
Manager, Data Science
New York, NY
Full-time
Onsite
Senior Level
$148K/yr - $174K/yr
5+ years expEVERSANA is a global company committed to creating a healthier world through next-generation commercialization services in the life sciences industry. The Manager of Data Science will lead a team of Data Scientists and Analysts to design and deploy advanced machine learning and AI algorithms across various domains, while managing project timelines and delivering analytic insights.
Pharmaceutical
Responsibilities
Develop and apply data mining and machine learning techniques and models to extract analytic insights from healthcare and non-healthcare data sets
Develop software solutions and applications using SQL, Python, and/or R
Responsible for review, generation, and delivery of analytic products in support of project work, RFP responses and other business needs
Responsible for the successful management of different projects within defined timelines while meeting the objectives provided, identifying and managing cross-functional resources required to adequately perform the tasks at hand
Act in a supervisory role to junior analysts/data scientists
Support and supervise the development of visualizations and presentations for client deliverables
Interface with EVERSANA analysts, data scientists, clinicians and program managers and with EVERSANA customers
Respond to additional ad-hoc analysis requests
Demonstrate a commitment to diversity, equity, and inclusion through continuous development, modeling inclusive behaviors, and proactively managing bias
All other duties as assigned
Responsible for and oversee their respective department
Interview, select and supervise the activities of the department staff; communicate interpret and discuss with team the company policies and procedures
Determine job objectives, work methods and performance standards; review performance relative to departmental objectives discussion appraisal with each employee and performance; authorize and communicate salary changes, promotions, transfers, discipline, and discharge and administer all other personnel actions
Qualification
Required
Degree in any of the following majors: Engineering, Computer Science, Mathematics, Bioinformatics, Physics, Statistics
BS/MS degree in one of the above listed majors, PhD desirable
At least 5 years of experience in data analytics and modeling, preferably around healthcare claims data and commercial analytics in the life science industry
Practical knowledge of statistics, statistical inference, and machine learning algorithms (deep learning, LSTM, XGBoost, SHAP, LLM, GraphML,, GAN, and reinforcement learning)
Hands-on experience and proficiency in SQL, Python, pandas, scikit-learn, numpy, scipy, R, visualization tools, and software development within a Linux environment
Deep commercial awareness of the healthcare, health technology and pharmaceutical industry, gained through experience
High level of knowledge and analytic experience with real world data sources (e.g., EHR/EMR data, RWD, healthcare prescription / claims databases) as well as comprehensive understanding of the RWD supply chain and reimbursement policies
Expertise in healthcare industry terminology and coding (e.g. NDC11, ICD9/ ICD10, HCPCS, CPT, LOINC)
Works independently and is a self-starter
MS PowerPoint presentation development skills
Client interface and presentation skills
Ability to lead by example
Strong organizational skills, including ability to manage multiple deliverables across multiple projects
Significant consideration will be given to prior publications, independent software projects completed, and non-proprietary code authored by the candidate
Preferred
Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Bioinformatics, or a related field
Over 10 years of experience in data science, with significant experience in a leadership role within the life sciences industry
Advanced proficiency in data analysis tools and software (e.g., Python, R, SQL, TensorFlow, Hadoop)
Proven leadership experience, including managing teams and leading cross-functional projects
Demonstrated ability to develop and execute strategic plans based on data-driven insights
Exceptional communication and presentation skills, with the ability to convey complex data insights to diverse audiences
Strong project management skills, including the ability to manage multiple projects simultaneously and meet deadlines
In-depth understanding of the life sciences market, including key trends, regulatory environment, and competitive landscape
Proven track record of driving innovation in data science methodologies and applications
Strong ability to work collaboratively with cross-functional teams, including researchers, product managers, and business leaders
Proficiency in programming languages such as Python, R, and SQL for data analysis and model development
Experience with data analysis and visualization tools such as Tableau, Power BI, and Jupyter Notebooks
Familiarity with machine learning frameworks and libraries such as TensorFlow, Keras, PyTorch, and Scikit-learn
Experience with cloud computing platforms such as AWS, Google Cloud Platform, or Microsoft Azure for deploying and managing data science solutions
Proficiency in database management systems like MySQL, PostgreSQL, and NoSQL databases (e.g., MongoDB, Cassandra)
Knowledge of statistical software packages like SAS or SPSS for advanced statistical analysis
Benefits
Competitive salaries and benefits
Reasonable accommodation when requested by a qualified applicant or candidate with a disability
Company
EVERSANA
EVERSANA is the provider of global services to the life science industry.
5001-10000 employees
H1B Sponsorship
EVERSANA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (28)
2024 (9)
2023 (24)
2022 (9)
2021 (9)
2020 (7)
Funding
Current Stage
Late StageTotal Funding
unknown2018-10-01Private Equity
Leadership Team
Mark Thierer
Chief Executive Officer
Suzanne Greenwood
Chief Commercial Officer, Oncology
Recent News
EU Startup News
2026-01-15
Company data provided by crunchbase