Manager, Data Science

At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us!

Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs.  We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve.   We are EVERSANA. 

Data science professional to lead a team of Data Scientists and Analysts to design, implement and deploy advanced machine learning / artificial intelligence algorithms across multiple domains including, but not limited to, pharma, healthcare, media and programmable ads. These analyses tasks will involve developing original code and leveraging EVERSANA’s existing healthcare analytics platform to provide analytic content in support of EVERSANA project work, RFP responses and other business needs.  This professional will be a member of EVERSANA’s analytics team, reporting to VP of Data Science, and will manage junior Data Scientists and guide them in their day-to-day client project design and delivery activities.

ESSENTIAL DUTIES AND RESPONSIBILITIES:
Our employees are tasked with delivering excellent business results through the efforts of their teams.  To achieve this, the role requires the following capabilities:

• 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.

PEOPLE LEADER People leaders must possess both the skills to effectively accomplish these tasks and the emotional intelligence to do so in alignment with our cultural values.  In addition to the critical management and leadership tasks listed above, this role also includes the following unique responsibilities: [Describe the 3 to 5 most important things a top performer in this position must do, align to goals but do not include metrics. Examples below]

• 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.

EXPECTATIONS OF THE JOB:

• Travel (10% or less)
• Hours (40 hours per week, 5 days of the week)

The above list reflects the general details necessary to describe the expectations of the position and shall not be construed as the only expectations that may be assigned for the position.

An individual in this position must be able to successfully perform the expectations listed above.

MINIMUM KNOWLEDGE, SKILLS AND ABILITIES:

The requirements listed below are representative of the experience, education, knowledge, skill and/or abilities required.

• Education:
  • 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
• Experience and/or Training:
  • 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, 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 QUALIFICATIONS:

• Education: Master’s degree or Ph.D. in Data Science, Computer Science, Statistics, Bioinformatics, or a related field.

• Experience and/or Training: 
  • 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.
• Technology/Equipment:
  • 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.

PHYSICAL/MENTAL DEMANDS AND WORKING ENVIRONMENT:

The physical and mental requirements along with the work environment characteristics described here are representative of those an individual encounters while performing the essential functions of this position.

Office: While performing the essential functions of this job the employee is frequently required to reach, grasp, stand and/or sit for long periods of time (up to 90% of the shift), walk, talk and hear; occasionally required to lift and/or move up to 25 pounds. The noise level in the work environment is usually moderately quiet, with frequent interruptions and multiple demands.

OUR CULTURAL BELIEFS:

Patient Minded I act with the patient’s best interest in mind.  

Client Delight I own every client experience and its impact on results.  

Take Action I am empowered and empower others to act now.  

Grow Talent I own my development and invest in the development of others.   

Win Together I passionately connect with anyone, anywhere, anytime to achieve results.  

Communication Matters I speak up to create transparent, thoughtful and timely dialogue.  

Embrace Diversity I create an environment of awareness and respect.  

Always Innovate I am bold and creative in everything I do. 

Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA.

EVERSANA is committed to providing competitive salaries and benefits for all employees. If this job posting includes a base salary range, it represents the low and high end of the salary range for this position and is not applicable to locations outside of the U.S.  Compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living).  More information about EVERSANA’s benefits package can be found at eversana.com/careers.  EVERSANA reserves the right to modify this base salary range and benefits at any time. 

From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility.

Consistent with the Americans with Disabilities Act (ADA) and applicable state and local laws, it is the policy of EVERSANA to provide reasonable accommodation when requested by a qualified applicant or candidate with a disability, unless such accommodation would cause an undue hardship for EVERSANA. The policy regarding requests for reasonable accommodations applies to all aspects of the hiring process. If reasonable accommodation is needed to participate in the interview and hiring process, please contact us at [email protected].

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