Data Scientist

Data Science ·
Department Data Science
Employment Type Full-Time

Blackfynn is looking for Data Scientists to join our growing Data Science team, composed of Data Engineers, Data Curators, and Data Scientists. As a member of the Data Science team, you will use your domain expertise to drive advanced product features, as well as analyze large scientific and clinical datasets to help optimize therapeutics for Parkinson’s and neurodegenerative diseases.  



Blackfynn is a new kind of therapeutics company: one using high-quality clinical data, data modeling and analytics - first and always - to drive every aspect of drug development. We focus on optimizing clinical-stage assets for the near-term benefit of patients with Parkinson’s disease, with the aim of expanding into related neurodegenerative disease indications. It is our mission to improve the lives of everyone living with Parkinson’s and other neurodegenerative diseases across the globe, and to use our technology to democratize access to studies and medicines regardless of race, gender, socioeconomic status or geography. 



  • You have industry experience in biotech, pharma or healthcare, preferably in neurology and ideally in clinical trial data analysis, design and optimization
  • You consider yourself both a scientist and an engineer
  • You are excited by the prospect of integrating complex, multimodal data
  • You have experience applying machine learning techniques
  • You are knowledgeable or interested in learning about scalable applications on distributed architectures
  • You are passionate about Blackfynn’s vision
  • You possess top notch communication skills
  • You are curious, like a healthy debate and are eager to learn




  • Build analysis workflows to drive insight discovery, particularly related to clinical trial data analysis and modeling
  • Analyze clinical data from multiple different sources to uncover important relationships, identify subpopulations, and detect anomalies
  • Work with data curators to ensure high-quality datasets
  • Partner with engineers to build data-driven product features
  • Become a “super-user” of the Blackfynn product ecosystem




  • BS in computer science, bioengineering, neuroscience, or related subject
  • Industry experience in pharma, biotech or healthcare
  • Experience with applied statistics, machine learning, or scientific analysis
  • Experience with data reduction and data visualization
  • Proficient in Python, R, and/or other analytic programming languages
  • Comfortable in UNIX-based OS and shell scripting environment
  • Comfortable with web-based technologies (REST, JSON)




  • MS or PhD in computer science, bioengineering, neuroscience, or related subject
  • 2+ years professional or academic scientific analysis experience
  • Comfortable with machine learning frameworks (e.g. Scikit-learn, TensorFlow)
  • Experience working with clinical metadata
  • Comfortable with graph theoretical techniques and network analysis




  • Competitive salaries and equity participation – we all share in Blackfynn’s success
  • Generous vacation benefits – we want you to work hard but also rest and recharge
  • Excellent health benefits – at the end of the day, we are here to improve healthcare
  • Opportunity to work with smart people, solve complex problems, and make an impact in the world 




Each of us has been affected by Parkinson’s, dementia or other disease of the brain. We are the children, partners and friends of people living with neurodegenerative diseases. Sometimes, we are patients ourselves. Current drugs are marginally effective and can often make symptoms worse. New drugs keep failing in clinical trials. At Blackfynn, we do things differently. By applying a systematic approach that combines data, technology and deep domain expertise, we are developing a pipeline of targeted, clinical-stage therapeutics to improve the lives of those living with Parkinson’s and other neurodegenerative diseases. 

COVID-19 Update (February 2021): At this time, the majority of Blackfynn’s team is working remotely in the Greater Philadelphia area and we have transitioned to a remote-first organization. 

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  • Department
    Data Science
  • Employment Type