Senior Data Scientist at Amplion
Bend, OR, US



Amplion synthesizes the world’s biomedical knowledge to accelerate Precision Medicine and enable confident strategic decisioning in drug and diagnostic development. The company's SaaS platform leverages machine learning to provide actionable intelligence across millions of disparate data sources, delivering the leading solution for pre-clinical and clinical evidence in the Life Sciences industry.


All of us at Amplion are extremely passionate about enabling the life science industry to deliver on the promise of precision medicine. No disruption of a major industry happens with an individual.  It takes a great team, aligned around something meaningful and big. If you share in our passion and want to work for a growing company with the opportunity for professional growth with purpose, we’d love to meet you.



We are looking for a Data Scientist who will support our effort to accelerate the realization of precision medicine. You will be working with our Data Science team to analyze data from a variety of sources of structured and unstructured data to provide insights to our Life Science customers in their efforts to bring precision medicine to consumers.


The ideal candidate has a strong background in Machine Learning, Natural Language Processing, Python. A Bioscience background is highly preferred.


  • Apply machine learning techniques in a statistically rigorous manner

  • Work closely with product team to prioritize data science efforts

  • Work with data engineers to architect data and modeling pipelines

  • Plan, and be able to conduct as needed, end-to-end analyses, from data requirement gathering to data processing and modeling

  • Own ongoing deliverables and communications



  • MS degree in a quantitative discipline (e.g., statistics, physics, applied mathematics, computer science) or equivalent experience.

  • 3-5 years experience in applied statistical analysis, machine learning, and data mining

  • Excellent programming skills in Python

  • Experience with SQL and graph databases

  • Experience and knowledge of Python data science ecosystem: pandas, Jupyter, numpy, matplotlib, seaborn

  • Experience and knowledge of at least one Python machine learning framework: e.g., scikit-learn, Keras, TensorFlow, PyTorch

  • Experience running reproducible experiments and analyzing the results using a full end-to-end pipeline: from collecting raw data and preprocessing, statistical modeling and performance benchmarking, to final prototype packaging

  • Willingness to learn new software and platforms as needed

  • Self-starter able to work in a fast-moving and rapidly evolving environment

  • Team oriented individual willing to collaborate with multiple colleagues and partners




  • PhD in a quantitative discipline

  • Background in NLP or bioinformatics

  • Experience in applied NLP and text mining: e.g., named entity recognition, entity linking, document classification, coreference resolution, topic modeling

  • Experience with Python NLP libraries (eg. NLTK, spaCy, AllenNLP)

  • Experience of applying neural net frameworks (e.g., Keras, Tensorflow, PyTorch),  to NLP modeling



  • Unlimited PTO

  • 100% company funded health plans for employees and access to large group benefits

  • Dental, Vision, Life Insurance and FSA

  • Stock Options

  • Stocked kitchen, team outings, professional development, dog-friendly office




Amplion is an equal opportunity employer and prohibits discrimination and harassment of any kind. At Amplion, we value diversity.  All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disabilities, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state and local law.


We are interested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas.