Job Description
ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.
Let's do this. Let's change the world. In this vital role you should possess robust knowledge and hands-on experience in machine learning model. In addition to general supervised and unsupervised ML, subareas of interest include natural language processing, image processing, audio processing, and generative AI. Additional capabilities in mechanism-based mathematical modeling, advanced statistical modeling or causal modeling would receive special consideration. Furthermore, domain knowledge in one of biopharmaceutical R&D disciplines is strongly desired.
Key Responsibilities:

• Transform business, medical, or scientific questions into technical problems and identify possible solutions aimed at on-time delivery and impact.
• Apply coding skills to preprocess data and apply statistical, machine learning and artificial intelligence techniques, including NLP and image processing algorithms.
• Employ unsupervised and supervised techniques to develop predictive or prescriptive models with reliable performance, interpretability, and actionability.
• Develop generative models for a variety of applications.
• Execute data science projects and complete high-quality deliverables on time to support business.
• Work collaboratively across disciplines with an overt sense of ownership.
• Communicate effectively and influence a diverse set of technical, scientific, medical, and business constituents at the functional and executive levels.
• Help further build the team, including by contributing ideas and standard methodologies, and keeping abreast of developments in industry and academia.

Additional Qualifications/Responsibilities
Master's degree
OR
Bachelor's degree and 2 years of experience in a quantitative field
Or
Associate degree and 4 years of experience in a quantitative field
Or
High school diploma/GED and 6 years of experience in a quantitative field.
Preferred Qualifications:

• Experience in designing and building a variety of supervised and unsupervised machine learning models.
• Experience in apply machine learning to solve a scientific, medical, or business problem and demonstrated evidence of the use thereof to inform decision making.
• Proficiency in the use of one (or more) of these methodologies with demonstrated and interpretable insight and impact: generative artificial intelligence (Gen AI), deep learning, natural language processing, large language models.
• Experience with Healthcare data, e.g., clinical trial data, electronic medical records, and insurance claims; or Bioscience's data, e.g., protein or small molecule data, or bioinformatics; or Biopharmaceutical manufacturing.
• Strong proficiency in Python and experience in SQL.
• Experience with cloud computing technologies, e.g., AWS, Spark.
• Experience with source code control technologies, e.g., Git.
• Full stack experience with building and deploying modeling pipelines.
  101,812.00 USD - 131,872.00 USD