Intern

Duties and Responsibilities

As an intern, you can work on complex business problems within an inclusive and collaborative environment. Our interns play a critical role in driving the research, analysis, and strategy of cases and they can expect to work on multiple projects at a time.

• Responsibilities and work experiences across consulting engagements vary widely by project and may include, but are not limited to:
• Developing, designing, and conducting research studies to address our clients’ needs
• Performing quantitative and qualitative research
• Collaborating with academic and in-house experts
• Performing analysis and presenting results
• Preparing project deliverables and publications in peer-reviewed literature
• Collaborating on authorship of research publications
• Thinking creatively about how leading-edge analytics and emerging data sources address clients’ most pressing business challenges
• Coordinating multiple work-streams or analyses within a case team, including the work product and the team members involved.

Qualifications

Columbia Data Analytics fosters a work environment that is centered on delivering high quality work through teamwork and collaboration, best-in-class learning programs, and a culture of transparency, trust, and respect.

Specifically, we seek candidates who have:

• In-progress graduate degree with focus on biostatistics, environmental health, epidemiology, health economics, health policy, mathematics, public health, statistics, or related quantitative disciplines
• PhD in progress (students in their 3rd or 4th year preferred) or an MBA, MBA/MPH, or MS in progress (2nd year preferred) with at least 1 year of experience of applying quantitative methods to real-world research problems in the healthcare industry or experience in market access and/or healthcare consulting
• Passion for using data and analytics to solve the economic and business challenges our clients face in the life sciences industry
• Expertise in health economics, biostatistics, epidemiology, statistics, or related fields and strong track record of applying quantitative methods to real-world research problems, preferably in healthcare research
• Proficiency in at least 1 programming language (e.g., Phyton, SQL, SAS, Stata, S- Plus, R) highly preferred
• Strong oral and written communication skills with focus on attention to detail
• Strong academic record
• Ability to effectively work independently and within a team
• Desire to continuously learn and develop professionally
• Inclusive and growth-oriented mindset, strong interpersonal skills

Columbia Data Analytics embraces diversity and equal opportunity in a deep and meaningful way. We are committed to building teams that represent a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work will be. We provide equal opportunities across all sexual orientations, gender identities and expressions, races, colors, ethnicities, mental and physical abilities and characteristics, age, socioeconomic status, and religion, and we encourage candidates of all backgrounds to apply.

Term

Terms are flexible and can be extended. At minimum, 3 months commitment is expected.

Apply

To be considered, submit a cover letter, curriculum vitae, undergraduate and graduate GPA, and unofficial transcripts to Human Resources, info@cdanyc.com; or complete the form below.