Data Analytics Strategist

1 week ago


Étreux, Hauts-de-France, United States ZipRecruiter Full time

Company Overview

Putnam, a leading scientific and strategic consulting partner in the life sciences industry, seeks an experienced Data Scientist II to join our team. As a trusted advisor for pharmaceutical and life science companies, we turn science into strategy, supporting execution at every stage of the product and patient journey.

Compensation and Benefits

We offer a competitive salary of $120,000 per year, accompanied by an excellent year-end bonus, as well as exceptional professional growth and promotion opportunities. Our comprehensive benefits package includes a 401(k) plan, health, dental insurance, and three weeks paid vacation. We also provide a comprehensive training program and potential for graduate education tuition reimbursement.

Job Description

As a Data Scientist II, you will lead and manage data analyst teams to solve interesting analytical problems for our clients. You will be instrumental in developing core deliverables of analytics engagements by applying coding and modeling skills. In this role, you will work with project case teams on big data analytics, including:

  • Leading daily operations with case managers in executing and synthesizing analyses into key findings and actionable recommendations and participating in delivering these recommendations to our clients
  • Effectively overseeing analytical workstreams and driving the standardization and productization of core analytical project types
  • Coding junior data analysts on project execution and management

Required Skills and Qualifications

The ideal candidate for the Data Scientist II position is a highly intelligent and self-motivated individual with a strong work ethic and excellent team skills. Proven analytic experiences, problem-solving skills, team management experience, and a team-oriented attitude are essential. A working knowledge of the pharmaceutical or biotechnology industry is also a prerequisite. Relevant analytical/programming experiences in life science industries include proficiency in processing and manipulating large data in SQL and Python/R/SAS and Excel (Power Query, VBA), statistical testing and machine learning models, cloud infrastructure, and data visualization tools.

Working with Us

At Putnam, we pride ourselves on a team-based approach that is client-focused and impact-oriented. We serve many of the industry leaders, including all of the top 10 global biopharmaceutical companies. Almost all of our studies combine sophisticated quantitative analytics with significant qualitative fact-finding and synthesis to inform strategic decision-making. Our diverse casework spans portfolio prioritization, development pathway and resource optimization, market assessment, product pricing and launch strategies, market segment growth strategies, sales and marketing strategies, franchise development and patent expiration strategies.



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