Bioinformatics Engineer
Posted on 12/12/2023
INACTIVE
LatchBio

11-50 employees

Cloud-based platform for streamlined biological data analysis and
Company Overview
LatchBio offers a seamless, user-friendly platform for biological data analysis, providing scientists with the tools to easily manage, query, and visualize their research data. Their system allows for efficient workflow setup and scaling, with the added benefit of cost-effective cloud usage. Furthermore, LatchBio's on-demand supercomputing capabilities and pre-configured analytical tools, such as Jupyter Notebooks and RStudio, enable researchers to focus on their analysis, thereby streamlining the research process.

Company Stage

Series A

Total Funding

$32.8M

Founded

2021

Headquarters

San Francisco, California

Growth & Insights
Headcount

6 month growth

41%

1 year growth

33%

2 year growth

140%
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
R
CategoriesNew
Biology & Biotech
Requirements
  • Ability to understand new types of biological assays quickly. Given an experiment unfamiliar to you, eg. CITE-seq, can you fill in the following after skimming a few papers:
  • What biological questions does this assay answer?
  • Why are the results necessary to biologists? What steps are performed in the lab to carry out this assay? How can variation in each step skew our results?
  • What alternative experiments give similar results, and what are the tradeoffs between options?
  • Appreciation and understanding of the slow / tedious nature of the scientific process
  • Ability to write code to process data from unfamiliar biological assays, including the use of:
  • Workflow orchestration frameworks to process unorganized and poorly documented data (eg. latch, nextflow, snakemake)
  • Visualization libraries to distill key biological insights from processed data into reports/notebooks interpretable by biologists
  • Statistical packages in R/python for more exploratory analysis of processed data
  • Some experience with basic software engineering and web development
  • You have strong statistics and linear algebra fundamentals to evaluate the technical trade-offs between tools. Your natural tendency when coming across a tool (e.g., bowtie alignment) is to understand the math behind it and how it works deeply. If you rely on these tools as black boxes and do not demonstrate a strong desire to understand their underlying principles, then this role may not be a suitable fit for you
  • You are independent and like to have high ownership. You will be the primary contact for migrating a customer's end-to-end drug discovery / bioengineering campaign on Latch. As such, you should be comfortable scoping out customers' needs and building the right technical solution
  • You only want to program and not interface with customers. Our bioinformatics engineer will serve as a customer success endpoint to enable constantly adapt changing science to Latch. As such, having genuine curiosity and excitement to work with customers is key
  • You lack intellectual curiosity. Our team enjoys the discovery and communication of new ideas. This is a core part of our culture. We hold a weekly systems and math reading group (would like to start more). We are looking for fellow scientists / engineers who are hungry to learn new things
Responsibilities
  • We're looking for a bioinformatics engineer to work closely with our customers and facilitate the migration of their end-to-end bioinformatics infrastructure onto Latch
  • As a bioinformatics engineer, you will spend most of the time understanding the customer's science and building bioinformatics software to serve their scientific needs
Desired Qualifications
  • You prefer specialization in a specific scientific domain instead of branching out and researching areas you may need to become more familiar with. Although current expertise in your field is a plus, you will be working with a diverse set of customers with scientific goals spanning from antibody discovery to strain optimization. Your day-to-day will require you to grasp new scientific concepts rapidly, and you won't have time to go deep into your favorite scientific domain