Senior Machine Learning Engineer - BioTech

South San Francisco, California
US$150000 - US$200000 per year + Competitive Benefits

Data Scientist - BioTech
San Francisco Bay Area
$150,000 - $200,000 + Competitive Benefits

The Company

Harnham is working with a fast-paced, BioTech company that encourages a start-up culture, with the benefits and stability of a well-established name in the industry. This company highly values data-driven solutions and are, in fact, one of the first BioTech companies to build out their Data Science team.

The team has grown exponentially over the past couple years and expect their team to grow into leadership roles as soon as possible! You will have direct impact within the team and organization, working closely with the executive team to reach business and product development goals. Additionally, you will work on expanding the team, supporting the hiring process and professional development of new talent.

If you're looking to work with people that care about what you say and believe in your potential - this is the place to be! This organization is transforming the BioTech industry at a global scale - and this is your chance to join a team that will support your motivation to excel and work with tons of data!

The Role

You will:

  • Develop and optimize the Data Science infrastructure to be scalable and insightful, both internally and a production level
  • Demonstrate strong management and problem-solving skills - you will be taking initiative on important R&D to improve operation and products!
  • Communicate with organizational leaders across different verticals to deliver on data-driven goals, whether its your manager, engineers, marketing, or upper-echelon management!
  • Play a critical role in structuring the team's direction and scalability, from the challenges you will work on to the hiring process of future colleagues

Skills and Expertise

You have:

  • Dedicated knowledge in machine learning and the ability to produce object-oriented solutions (using C++ or Java) for logistical business strategy and product development
  • Expertise in R and/or Python, implementing machine learning techniques using python libraries, like TensorFlow, Scikit-learn, Pandas, and Keras
  • Exceptional communication skills - you can effortlessly relate insight to a team of engineers, business operations personnel, and an overseas data lake team!
  • Must have at least a Master's degree with 4 years of industry experience or a PhD with 2 years of experience, with a focus on Data Science or Machine Learning


$150,000 - $200,000

  • Competitive annual stock, 401K, and bonus opportunities
  • Relocation assistance
  • Phenomenal health care plan

How to Apply

Please register your interest by sending your CV to Karla Guerra at Harnham via the Apply link on this page.

For more information this role or other Data Science opportunities, please contact Karla Guerra at Harnham.

Python, R, Machine Learning, Deep Learning, Big Data, AI, Artificial Intelligence, Java, C++, Spark, AWS, SQL, Modelling, Algorithm, BioTech, Content Analysis, Sentiment Analysis, Data Scientist, Data Science, Scikit-learn, TensorFlow, PyTorch, Keras, Pandas, Classification, Clustering, Extraction

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KMG - 005
South San Francisco, California
US$150000 - US$200000 per year + Competitive Benefits
  1. Permanent
  2. Data science

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Visit our Blogs & News portal or check out our recent posts below.


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