Job Description
Based in San Diego, CA, Biological Dynamics, Inc. is a privately held molecular diagnostics Company committed to improving global health outcomes by empowering communities with low-cost, accessible diagnostics. At Biological Dynamics we are developing a suite of exciting diagnostic solutions tests for early cancer detection, neuroscience and infectious disease. Our products portfolio is powered by a proprietary lab-on-a-chip platform, Verita, that offers a novel way to isolate valuable cell-free nanoparticles and macromolecules directly from whole blood, serum, or plasma. Our diverse team shares passion for making a difference, a drive for excellence and a deep commitment to innovation.
In your position as Lead Data Scientist you will be leading a newly-formed interdisciplinary Data Science team. Your team will be tasked with developing deep machine learning models and corresponding data infrastructure to analyze large multi-dimensional datasets. Your analysis of complex genomic, multi-omic, clinical, and phenotypical datasets will advance discoveries in early cancer detection, neuroscience, and infectious disease; it will also inform our manufacturing, product and commercial strategy.
ESSENTIAL JOB DUTIES
- Lead, develop, and manage a Data Science team.
- In close collaboration with scientific teams, develop machine learning and statistical methods to analyze multi-omic data to advance Early Cancer Detection program and biomarker discovery for oncology and neuroscience.
- Develop and oversee the implementation of a formal objective process for selecting and qualifying ML frameworks for each of the applications.
- Oversee the all phases of development for data science-based projects from exploration and conceptualization to developing and testing of the models.
- Oversee the technical team that will be developing the data infrastructure to support machine-learning initiatives. Oversee the implementation of the formal process pipeline. Develop ML-based solutions for as well as monitoring, debugging, and continuous improvement of the implemented solutions.
- Play a leadership role in development of research protocols, statistical analysis plans, and other relevant documentation packages. Ensure accuracy and statistical validity of assigned deliverables.
- Develop deep understanding how data science projects fit within Biological Dynamics overall strategy. Provide technical leadership across organization, contribute to cross functional projects.
- Communicate of key findings at internal and external meetings, as well as contribute to publications.
EDUCATION/EXPERIENCE/SKILLS
- Ph.D. in Bioinformatics, Computational Biology, Statistics, Biological Sciences, Cancer Biology, Genetics, Genomics, Computer Science, Physics, or equivalent experience.
- 10 year(s)+ industry experience, ideally with 5 years of experience in biological applications of AI/ML
- Min 3 years of experience managing data science team, or equivalent experience.
- Deep understanding of modern statistical and machine learning tools used for analysis of genomics and multi-omic datasets.
- Familiarity with Deep Learning, Neural Networks, Embeddings, Transfer Learning, Data Visualization tools and dimensionality reduction
- Familiarity with some of deep learning libraries such as Keras, TensorFlow, and PyTorch
- Demonstrated expertise in at least one programming language (R, Python, Go, C++).
- Proficient in databases (SQL, Postgres preferred)
- Proficiency in experiments design, reproducible research practices, version control tools.
- Technical leadership and self-direction, willingness to both teach others and learn new techniques.
- Effective written and verbal communication skills
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