About BioSens8:

BioSens8 is engineering novel wearables to enable health ownership. Due to a lack of sensing parts, products akin to the continuous glucose monitor (CGM) are missing. BioSens8’s platform identifies sensing parts in just 3-6 months, not decades, to address this problem. Instead of taking 60 years to build the CGM, our team can engineer similar monitors in less than 3. A multiplexed wearable for hormones, neurotransmitters, organ health markers, and drug use will give unprecedented insight into our body’s health state and open the door to truly personalized medicine and proactive, data-driven health decisions. BioSens8 is first addressing unmet needs in the women’s health vertical with our technology.

Project Title – Computational modeling and simulation of sensors

Project Description:  

Currently, there are 15.5 million females in the US of childbearing age 15-49 with infertility (CDC). BioSens8 is engineering a novel wearable to address the needs of women in the US struggling with infertility by providing them a quantitative and affordable way to assess their fertility health. Specifically, our initial applications will most aid women pre and during in-vitro fertilization (IVF). The goal of this project is to characterize sensors in a continuous fashion through microfluidic systems which mimic eventual on-body use. Proof of concept in this initial application will be used toward other needs present throughout a female life cycle.

Knowledge, Skills, and Attributes required: 

• PHD(+) experience in computational biology or related field
• Experienced in:
  • Programming languages commonly used in bioinformatics, such as Python, R, and Perl
  • Computational modeling & simulation (GROMACS, AutoDock Vina, etc.)
  • Strong understanding of molecular biology and structure-function relationships.
  • Experience with bioinformatics tools and databases for sequence analysis, molecular structure prediction, simulation, and metabolic pathway analysis (e.g., BLAST, HMMER, Pfam, PDB, KEGG).
  • Experience with designing, building, and maintaining SQL databases
  • Familiarity with machine learning and data mining techniques applied to biological data is desirable (SSNs, molecule docking and modeling, etc.)

Competencies Preferred: 

• Can distill and communicate past results and future plans in an effective manner
• Responsive on communication channels (Slack, email)
• Self motivated and can work independently and in a team environment
• Passion for working in a fast paced startup environment
• Build in-person in Cambridge, MA