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Do you have a passion for analyzing scientific data and broad experience crafting bioinformatics pipelines? Do you think that cancer treatment should be personalized and want to accelerate that reality? Are you looking for a mission driven company where your work will directly impact human lives? We seek a lead bioinformatics engineer to found our data science team. As a technical leader in a quickly growing startup, you will build machine learning tools and data pipelines, advise on software architecture and experimental design, analyze proteomic and cell imaging data, and drive the data strategy foundational to our mission: all cancer is treatable. We're building a translational drug discovery platform to identify treatment options for relapsed and refractory cancer patients -- starting with Acute Myeloid Leukemia -- to address the long tail of cancer treatment. We have a highly automated lab in San Francisco running on our custom software (Python/Django, JavaScript/React, PostgreSQL), and are currently testing relapsed/refractory cancer patients as well as samples from a variety of biopharma partnerships. What You'll Do: Build and design machine learning pipelines for the automated analysis of flow cytometry and cell imaging data Develop a statistical process control framework for flow cytometry validation and laboratory quality control Analyze production and research flow cytometry, cell imaging, and drug response data to report to clinicians and biopharma partners Design algorithms to optimize our combinatorial drug search and inform drug development hypotheses Collaborate with the science team on the design and analysis of research experiments Work in a dynamic interdisciplinary environment on multi-functional project teams of: software engineers, automation engineers, data scientists, bioengineers, computational biologists, process engineers, clinical and R&D scientists, etc. Regularly present your results and analysis at group and individual meetings as well as externally through conferences and publications Use a modern data stack to analyze data and develop methods: Jupyter, Pandas, SciPy, NumPy, SciKits, Python, Docker, R, etc. Who You Are:  Love wrangling complex biological datasets to derive innovative insights and are passionate about personalizing the treatment of cancer Deep knowledge of statistics, machine learning, and data analysis as well as a broad working knowledge of common bioinformatics tools/methods PhD in bioinformatics, computational biology, {bio}statistics, or equivalent experience and training 3+ years of postgraduate experience working in a production environment with large data sets using Python/Jupyter or R Have contributed significant publication quality work that is demonstrated through your publication record, personal web page, GitHub account, or prior experience Solid programming skills and proficiency with Unix, Git, and other command line tools Familiar with machine vision and image analysis algorithms and research Nice to Haves: Flow cytometry or cell imaging data analysis experience is a plus What we can offer you: The opportunity to directly fight cancer, one patient at a time Exposure to experts from diverse backgrounds ranging from engineering, data science, operations, clinical medicine, patient advocacy, and beyond Work in a collaborative environment with a team dedicated to both personal and scientific growth and development Highly competitive, early stage company compensation package, with incredible growth opportunities Outstanding healthcare benefits Flexible vacation policy … did we mention daily catered lunch? More About Us:  We are a precision medicine company that has a translational drug discovery platform focused on identifying therapeutic options for relapsed and refractory cancer patients. Our clinical research lab helps oncologists identify personalized combinations of existing FDA-approved treatments for patients. We’ve developed a high throughput robotic flow cytometry lab platform that screens thousands of FDA-approved drug combinations against the patient’s own cancer cells to help predict safer and more effective cancer treatments. Our lab has completed initial feasibility studies with clinicians in relapsed Acute Myeloid Leukemia & Myelodysplastic Syndrome, with an 84% predictive rate. Focusing on individual patients and existing treatments, we’re working to discover novel uses of drugs and defining mechanisms underlying cancer progression and drug resistance. Our research and development platform extends our clinical research to drug discovery, testing novel compounds with primary patient samples for pharmaceutical and biotechnology companies. Using our automated, high-throughput, multi-parametric drug screening research platform, industry partners can assay the biological impact of novel compounds on primary cells in a physiologically relevant environment. This helps our partners stratify patients by their predicted responsiveness, increasing the probability of successful clinical development. We are actively partnering with pharmaceutical companies that have preclinical and clinical stage drug pipelines in Acute Myeloid Leukemia, Myelodysplastic Syndrome, or related hematological malignancies to profile experimental drug activity in patient samples. Our investors include Builders Venture Capital, Founders Fund, First Round Capital, Y Combinator, several prominent angels and seed-stage funds, and Accelerate Brain Cancer Cure, a venture philanthropy firm founded by Steve Case. We have offices and a laboratory in San Francisco’s SoMa district. We value diversity and are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Best Regards, Kris Kris Young Account Manager BHO Tech San Jose, San Francisco CA Phone: 866 816-1615 x 823 kris@bhotech.com www.bhotech.com