Full-Time

Benchling Engineer

Confirmed live in the last 24 hours

Manifold Bio

Manifold Bio

11-50 employees

Designs precision biologics using in vivo methods

No salary listed

Senior

Boston, MA, USA

In Person

Category
Computational Biology
Biology Lab & Research
Biology & Biotech
Required Skills
Python
Postgres
AWS
Linux/Unix
Requirements
  • 5+ years of relevant programming experience (including Python)
  • Direct experience with Benchling and Benchling solutions
  • Demonstrated and proven experience modeling and building data solutions (e.g. Postgresql)
  • Strong python programming skills
  • Cloud computing experience with Amazon Web Services (AWS)
  • Experience with data profiling, data quality, master data management, metadata management
  • Experience across multiple operating systems: Unix/Linux, Mac, and [tolerance of] Windows
  • Detail-oriented with excellent problem identification and problem-solving skills
  • Demonstrated ability to work both independently and as part of a team
  • A deep passion for data modeling and developing new methods
Responsibilities
  • Maintain and evolve Manifold’s Benchling, Benchling Vivo, and Benchling Connect configurations
  • Implement software solutions to integrate Benchling LIMs data with analysis workflows
  • Build out Benchling Inventory solutions with Automation Team
  • Work closely with Scientists to identify and onboard new data streams
Desired Qualifications
  • PREFERRED: master’s degree, project management experience, relevant certs in data science or project management
  • NICE TO HAVE: Knowledge of or experience with the Allotrope Simple Model (ASM) for structured instrument data capture

Manifold Bio specializes in creating precision biologics for the pharmaceutical industry, focusing on drug design and development. Their main product is an in vivo drug design platform, which allows for testing drugs within living organisms rather than in lab settings. This platform utilizes mCodes™ technology, a unique protein barcoding system that enables the simultaneous study of multiple proteins in one experiment, making it particularly effective for complex biologics. Unlike competitors, Manifold Bio's approach is the first of its kind, emphasizing in vivo testing to enhance drug development. The company's goal is to expand their platform and collaborate with other pharmaceutical companies to develop new therapeutics.

Company Size

11-50

Company Stage

Series A

Total Funding

$60.4M

Headquarters

Boston, Massachusetts

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • Raised $40M in Series A funding, indicating strong market interest.
  • Their platform could revolutionize in vivo testing by testing multiple molecules simultaneously.
  • Strategic partnerships with multiple investors enhance growth and development opportunities.

What critics are saying

  • Increased competition from companies like Insamo and Infinimmune.
  • Rapid AI and ML advancements may outpace Manifold Bio's current technology.
  • Regulatory challenges in in vivo testing could delay product development timelines.

What makes Manifold Bio unique

  • Manifold Bio uses proprietary mCodes™ technology for protein multiplexing in drug design.
  • Their in vivo drug design platform is the first of its kind globally.
  • The company specializes in precision biologics, focusing on complex biologics development.

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Benefits

Hybrid Work Options

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

-4%

2 year growth

2%
Swanson Reed
Apr 19th, 2024
Manifold Bio Secues $15M in Series A Funding

Manifold Bio secues $15M in Series A funding.

Business Wire
Feb 28th, 2024
Playground Global Promotes Benjamin Kim Phd To Partner

PALO ALTO, Calif.--(BUSINESS WIRE)--Playground Global, an early-stage, deep-tech venture firm that invests in founders building category-defining businesses at the forefront of science and technology, today announced that Benjamin Kim PhD, has been promoted to Partner. Ben focuses on identifying founders and companies that are revolutionizing engineered biology, building the future of emerging modality therapeutics development, and unlocking AI and ML workflows to refactor drug development. Ben joined Playground as a Venture Fellow in 2019 while completing his PhD in bioengineering at Stanford University. He became a Venture Associate a year later, and by 2022, he had led investments in two breakthrough biotech companies and was promoted to Venture Principal. In the last year, Ben has supported investments in Insamo (Board Observer and Lead Investor), Infinimmune (Board Director and Lead Seed Investor), Atomic AI (Board Observer and Lead Series A investor) and Amber Bio (Board Observer and Co-Led Seed Investment Round). He has also worked with Outpace Bio and Manifold Bio, where he is a Board Observer

Finsmes
Jul 14th, 2022
Manifold Bio Raises $40M In Series A Funding

Manifold Bio, a Boston, MA-based protein therapeutics company, raised $40M in Series A funding. The round was led by Triatomic Capital with participation from Section 32, FPV Ventures, Horizons Ventures, Tencent, Playground Global, Fifty Years, and FAST. With this funding, Triatomic Capital founding partner Jeff Huber will join Manifold Bio’s board of directors. Huber was previously founder and CEO of Grail and co-founder of Google’s life sciences efforts

Business Wire
Jul 14th, 2022
Horizons Ventures invested into manifold.bio in $40M on Jul 14th 22'.

Manifold Bio, a next-generation protein therapeutics company pioneering an in vivo biologics design platform, today announced the close of a $40 million Series A financing round led by Triatomic Capital and joined by new investors Section 32, FPV Ventures, Horizons Ventures, and Tencent.

TechCrunch
Jul 14th, 2022
Manifold Bio’S Molecular ‘Barcodes’ Could Break Through Pharma’S In Vivo Bottleneck

In the creation of a new drug, there comes a point where you have to finally put the molecule in a real creature — one at a time — and see if it actually does what you think it does. Manifold Bio’s molecular machinery could let a hundred molecules be tested simultaneously in a single living system, potentially upending the whole process. The drug discovery space has advanced a lot in the last few years, first with fast and cheap gene transcription, then with CRISPR, then with AI-powered proteomics. You don’t have to know what all of those do, however, to understand that in the end, no matter how much they accelerate fundamental research, in vivo testing remains a major bottleneck