---
title: 'Senior Research Associate, in vivo Pharmacology at Deep Genomics'
canonical: 'https://feeny.ai/job/senior-research-associate-in-vivo-pharmacology-deep-genomics-cambridge-gn6qfew5cxvc'
type: 'job'
last_seen: '2026-09-15'
---

# Senior Research Associate, in vivo Pharmacology at Deep Genomics

- **Company:** Deep Genomics
- **Location:** Cambridge, MA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-10
- **Last confirmed live:** 2026-09-15
- **Apply:** https://jobs.lever.co/deepgenomics/f3fba58f-97f0-441b-b578-af055fce2e8f

## Job description

## About Us

Deep Genomics is at the forefront of integrating artificial intelligence and complex biology to transform drug discovery. Our proprietary machine learning platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, genetics, chemistry and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how medicines are created.

## About the role

The Senior Research Associate will join our in vivo Pharmacology team within the Platform Biology group and will be a key player in driving our cutting-edge AI RNA therapeutics discovery platform. In this role, you will be responsible for helping support in vivo therapeutic efficacy testing efforts of novel RNA therapeutics in various animal models. The ideal candidate will have strong hands-on experience with in vivo animal handling and rodent models, expertise in tissue collection and sample processing, and some background in molecular biology techniques. Experience or familiarity with RNA-based therapeutic modalities is highly desirable. The successful candidate will be a proactive, detail-oriented, and collaborative team member who demonstrates scientific curiosity and initiative. The candidate should be comfortable working both mostly independently and within cross-functional teams in a dynamic, fast-paced biotech environment. This position is onsite at our Cambridge, MA site.

## Key Responsibilities

- Coordinate study logistics, including dosing schedules, sample collection plans, reagent preparation, and communication with research partners.
- Manage in vivo samples and prepare samples for downstream analysis.
- Perform standard molecular biology techniques in a consistent and reproducible manner (e.g. PCR, qPCR, ddPCR, ELISA, Western blot, Jess/Leo capillary-based Western blot, etc.).
- Support the development of novel molecular and functional assays on animal samples for our internal therapeutic pipeline.
- Analyze, visualize, and summarize study data while maintaining accurate and timely documentation of experiments, protocols/SOPs, sample inventories, and results in an electronic lab notebook (ELN).
- Collaborate with cross-functional teams to support project goals and meet company timelines.

## Basic Qualifications

- Degree in Pharmacology, Biology, Molecular Biology, Genetics, Biochemistry or a related field with a BS and 2-4+ years of relevant experience, a MS and 1-2+ years of relevant  pharmaceutical or biotechnology experience.
- Basic understanding of molecular biology and tissue sample processing for RNA and protein readouts.
- Hands on experience with rodents, basic injections (ex. tail vein, SubQ, IP, etc.), necropsy, and some in vivo study coordination is mandatory.
- Demonstrate ability to execute various ex vivo molecular assays.
- Excellent communication, organizational skills and a willingness to learn.
- Ability to work collaboratively in a fast-paced technical environment.

## Preferred Qualifications

- Past experience with RNA oligonucleotide therapeutics in animal models is preferred.
- Basic knowledge of histology and immunohistochemical assays and quantification is a bonus.
- Demonstrated experience working in cross-functional teams.
- Experience working in an advanced data and computing environment.

## What We Offer

- A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery.
- Highly competitive compensation, including meaningful stock ownership.
- Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program.
- Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
- Maternity and parental leave top-up coverage, as well as new parent paid time off.
- Focus on learning and growth for all employees - learning and development budget & lunch and learns.
- Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.

Deep Genomics encourages applications from all backgrounds who seek the opportunity to build the world's leading AI-driven genetic medicine company.

If you have a disability or special need, accommodation is available on request for candidates taking part in all aspects of the selection process.

*This posting reflects a current vacancy.

We offer competitive compensation aligned with local market benchmarks. The salary range for this role is $90,000 - 110,000, and reflects Cambridge, USA-based roles.

## About Deep Genomics

## Company Overview
- **One-liner**: Deep Genomics uses an AI‑driven platform built on deep learning and RNA biology to discover and develop genetic medicines.
- **Entity Type**: Private (Series C, $236.7M total funding)
- **Headquarters**: Toronto, Ontario, Canada (with a Boston, MA office)
- **Founded**: 2014
- **Founders**: Brendan Frey, Ph.D.

## Core Business
- **Primary industry**: Biotechnology / AI‑powered drug discovery
- **Target customers**: B2B (pharmaceutical partners) and internal drug development programs; ultimately serves patients with genetic conditions
- **Mission/purpose**: “Building the world’s leading AI‑driven genetic medicine company” – [deepgenomics.com/careers](https://www.deepgenomics.com/careers/)

## Products & Services
- **BioFM (Biological Foundation Model) Platform**: A proprietary AI platform that integrates lab‑in‑the‑loop workflows, model development, fit‑for‑purpose training datasets, and screening technologies to predict pathogenic mutations, identify therapeutic targets, and accelerate drug development. – [linkedin.com](https://linkedin.com/company/deep-genomics)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed
- **Key Metric**: Total funding of $236.7M (6 rounds); annual revenue estimated at $5M – [linkedin.com](https://linkedin.com/company/deep-genomics)
- **Notable Investors/Partners**: Khosla Ventures (Series A lead), Future Ventures (Series B lead), SoftBank Vision Fund (Series C lead) – [linkedin.com](https://linkedin.com/company/deep-genomics)
- **Growth Signals**: Headcount of 83 (+23.9% YoY); 4 active job postings as of early 2026; offices in Toronto and Boston; strong publication record (over a dozen papers in Nature, Science, Cell) – [linkedin.com](https://linkedin.com/company/deep-genomics), [deepgenomics.com/team](https://www.deepgenomics.com/team)

## Competitive Advantages
- **Proprietary AI platform** that combines deep learning, RNA biology, and automation with an integrated wet‑lab/dry‑lab feedback loop.
- **World‑class scientific team** with expertise spanning AI, genomics, drug development, and clinical research; led by Brendan Frey, a pioneer in deep learning (co‑author of the wake‑sleep algorithm).
- **Strong publication track record** in top‑tier journals, providing a defensible moat in the AI‑biotech space.
- **Lab‑in‑the‑loop approach** that continuously improves model predictions with real experimental data.

## Strategic Focus
- Scaling the BioFM platform to discover and develop a pipeline of genetic medicines.
- Expanding the team across machine learning, computational biology, and in vitro pharmacology (current openings: Senior Research Scientist ML, Senior MLOps Engineer, Senior Research Engineer ML, Associate Director in vitro Pharmacology) – [jobs.lever.co](https://jobs.lever.co/deepgenomics)
- Strengthening clinical development capabilities out of the Boston office.

## Why Work Here
- **Culture**: Collaborative, innovative environment at the intersection of computational biology and drug discovery. Team has published more AI‑meets‑biology papers than any other lab or company.
- **Compensation**: Highly competitive, including meaningful stock ownership; comprehensive health/vision/dental coverage; parental leave top‑up; unlimited personal days.
- **Work environment**: Flexible hours, hybrid/remote options, extended long weekends, holiday shutdown. Offices in Toronto (MaRS Discovery District) and Boston (Kendall Square).
- **Growth**: Strong focus on learning and development (tuition support, lunch‑and‑learns).
- **Employee rating**: 2.8/5.0 on LinkedIn (23 reviews) – mixed feedback on career progression (2.8) but stronger on work‑life balance (3.5) and culture (3.3) – [linkedin.com](https://linkedin.com/company/deep-genomics)

## Sources
1. [deepgenomics.com/careers](https://www.deepgenomics.com/careers/)
2. [linkedin.com/company/deep-genomics](https://linkedin.com/company/deep-genomics)
3. [jobs.lever.co/deepgenomics](https://jobs.lever.co/deepgenomics)
4. [deepgenomics.com/team](https://www.deepgenomics.com/team)
5. [cbinsights.com/company/deep-genomics](https://www.cbinsights.com/company/deep-genomics)

## Other roles at Deep Genomics

- [Senior Research Scientist, Machine Learning (BioFM)](https://feeny.ai/job/senior-research-scientist-machine-learning-biofm-deep-genomics-toronto-00w9gt5xfgam) — Toronto, Canada
- [Senior Scientist, Analytical Chemistry](https://feeny.ai/job/senior-scientist-analytical-chemistry-deep-genomics-cambridge-wsfp0nvpr58m) — Cambridge, MA