Data Scientist
Apply NowCompany: Ambit Inc.
Location: Young America, MN 55397
Description:
About Ambit:
Ambit is a healthcare technology and services company that provides data, analytics, consulting, and platform-based offerings to biopharma companies with a focus on rare and specialty diseases. Ambit capabilities include the areas of Strategy, Digital, Analytics, Digital Transformation, and Patient Identification & Activation.
About Ambit Leadership:
Ambit is led by a team of entrepreneurs with decades of rare and specialty disease experience and a passion to deliver data-driven innovation for our Biopharma partners.
Overview:
At Ambit we are on a mission to transform the world of rare and specialty disease. We are looking for people who excel in their work and are able to manage ambiguity with resourcefulness and creativity. Our core values are:
As a Data Scientist, you will:
Qualifications
Qualities that we seek:
In addition to strong educational background and relevant work experience, we evaluate the following:
We treat our team right:
Competitive compensation is just the beginning. As part of our team, you can expect:
Ambit is a healthcare technology and services company that provides data, analytics, consulting, and platform-based offerings to biopharma companies with a focus on rare and specialty diseases. Ambit capabilities include the areas of Strategy, Digital, Analytics, Digital Transformation, and Patient Identification & Activation.
About Ambit Leadership:
Ambit is led by a team of entrepreneurs with decades of rare and specialty disease experience and a passion to deliver data-driven innovation for our Biopharma partners.
Overview:
At Ambit we are on a mission to transform the world of rare and specialty disease. We are looking for people who excel in their work and are able to manage ambiguity with resourcefulness and creativity. Our core values are:
- Set high standards
- Deliver on ambitious goals
- Be relentless and innovative
- Be responsible and trusted
As a Data Scientist, you will:
- Work directly with company leadership to solve critical, interesting analytics problems.
- Use advanced analytics techniques for clustering and classification in highly dimensional databases.
- Apply your coding, modeling and critical thinking skills to personally deliver analyses that will drive key business insights.
- Import, clean, manipulate and analyze large volumes of data to help evaluate and solve critical business questions using SQL, SAS, and other tools.
- Communicate findings from your analysis to internal team members and use your findings to support critical strategic decisions.
Qualifications
- An ideal candidate will have a master's degree with 1-2 years of relevant work experience using healthcare patient and HCP-level data sources
- Ability to manipulate data in SQL, SAS, R, or Python
- Experience in cloud-based platforms (e.g. Snowflake, AWS, Azure)
- Experience in data visualization is a plus (e.g. Power BI, Tableau, D3.js, Qlik Sense, HTML/JavaScrip)
- Knowledge of any of the following: Natural Language Processing & Text Mining, Experimental Design, Bayesian Networks, Network/Graph Mining
- Candidates with other expertise in analytics areas (e.g. data engineering, social listening, simulation and optimization) are welcome to apply.
Qualities that we seek:
In addition to strong educational background and relevant work experience, we evaluate the following:
- Problem solving abilities
- Attention to detail
- Communication skills
- Organization and planning skills
- Interested in growing and taking on additional responsibilities as part of a fast-paced entrepreneurial work environment
- Work ethic
We treat our team right:
Competitive compensation is just the beginning. As part of our team, you can expect:
- An early-stage growth company filled with passionate and fun teammates, dedicated to changing every life touched by rare disease
- Flexible vacation policy with company wide shutdowns to unplug, rest, and recharge
- 401(k) (full-time employees)
- Medical, dental, vision & disability insurance (full-time employees)
- Parental leave (full-time employees)