Transcripta Bio hiring Bioinformatics Scientist • Remote (Work from Home) | Himalayas
Transcripta BioTB

Bioinformatics Scientist

Orchestrating gene expression — a faster route to market Full transcriptome characterization of drug candidates offers a complete profile of opportunities and risks.

Transcripta Bio

Employee count: 11-50

United States only

Overview

Rarebase is an early-stage biotechnology public benefit corporation based in Palo Alto, California working to advance personalized medicine for the thousands of genetic diseases that have no effective treatments. We operate at the intersection of technology and biology, collaborating closely with patient communities to ensure that drug discovery and development is aligned with our shared goals - to bring effective treatments to the clinic as quickly and safely as possible.

Our Function™ drug and target discovery platform integrates cellular modeling of disease with functional genomics, high throughput screening, high content imaging and computational biology to identify molecules that address the underlying biology of genetic diseases. To support Function’s rapid growth, we are building a next-generation automated lab and are recruiting a San Francisco Bay Area-based scientific and computational team to be intimately involved in its development.

Rarebase is backed by top-tier institutional investors, pharma and biotech angel investors, families personally affected by rare disease, and others that truly care about our mission to re-invent therapeutic development for genetic diseases. Our advisors are leaders in the biotech and genetic disease community.

The Opportunity

We’re looking for a Bioinformatics Scientist to support the development of Rarebase’s state-of-the-art functional genomics and high-content screening platform and assist in the design, execution and scale-up of drug compound screening assays for rare diseases, with a focus on developmental disorders.

The ideal candidate will have experience in the processing and analysis of next generation sequencing data (e.g., RNAseq, metabolomics, whole genome sequencing, ATACseq, DrugSeq). Experience with analyzing results of gene editing assays (CRISPRi screens, epigenetic modulation) a plus.

The individual in this role will work closely with the broader scientific team to build out the analysis pipeline that will support development of our work.

As an early member of Rarebase’s computational biology team, you will be joining a biotech startup that has long term stability but yet is very much in formation, providing many opportunities for significant growth and impact. You will also work alongside a multidisciplinary team and an outstanding team of scientists focused on conducting inventive and innovative science that will lead to the discovery of novel medicines.

What you’ll do

  • Apply your expertise with bioinformatics pipelines to process NGS data

  • Create novel pipelines and/or algorithms to identify optimal therapies

  • Contribute creatively to the company’s strategy, helping drive new discovery for rare diseases

  • Champion ideas for new approaches to handle high-dimensional, diverse data and identify trends

  • Collaborate closely with the broader computational team including artificial intelligence experts, computer vision / image specialists and data engineers, and the science team (neuroscientists, high-throughput biologists, clinical design experts)

  • Communicate data and scientific results to both internal and external audiences with a high degree of sophistication.

What you’ll bring

  • PhD in Bioinformatics, Computational Biology, Bioengineering, Computer Science, or related disciplines

  • 5+ years of hands-on experience working with statistics and bioinformatics methods in a clinical, academic or industrial setting

  • Track record of developing and implementing novel data analysis pipelines

  • Track record of preprocessing data (e.g., normalization, FDR) and statistical training for experimental designs

  • Track record of versatile programming experience and tool design

  • Experience programming in Python and ability to quickly learn new languages and tools

  • Knowledgeable about version control, code documentation and best practices

  • Experience mining and integrating public databases and biorepositories a plus

  • Experience working in therapeutic discovery, rare diseases, developmental biology or neuroscience is a plus

  • Experience developing data visualizations for science teams a plus

  • Excellent communication and interpersonal skills with an ability to work both independently and in a team environment

  • A relentless drive and curiosity coupled with great resilience and adaptability

What we offer

  • An opportunity to work closely with cutting-edge technology team and patient organizations on translational research

  • Premium health and dental insurance

  • Competitive salary and equity in a growing, well-funded startup

  • Generous vacation policy

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level

Location requirements

Hiring timezones

Worldwide

About Transcripta Bio

Learn more about Transcripta Bio and their company culture.

View company profile

Orchestrating gene expression — a faster route to market

Full transcriptome characterization of drug candidates offers a complete profile of opportunities and risks.

Transcripta’s screening platform and Conductor AI predictive model unlock the value of gene expression to discover and qualify novel candidates.

Our Drug-Gene Atlas is the missing link between the worlds of molecular chemistry and the cellular transcriptome

Transcripta has the Rosetta Stone to systematically decode the rules by which drugs affect the expression of genes within the human body. We can discover and de-risk novel therapies on repeat, bringing them to market years faster and with less risk than conventional discovery methods.

Surveying a drug’s entire therapeutic target space in a single shot

Our proprietary FUNCTION-seq assay is optimized for high-throughput characterization of the full human transcriptome. With measurements of 20,000 genes per experimental condition, it provides unprecedented information about the biological effects of every drug candidate.

Biological signatures of efficacy, off-target activity, impact on pathways, and toxicity profiles are readily available simultaneously, providing clarity and speed in decision making. As an unbiased assay, FUNCTION-seq is like testing a drug against all targets simultaneously, making it an ideal assay to find new applications of existing compounds and to deeply characterize novel compounds.

Predicting gene expression from molecular structure

Our Conductor AI modeling suite predicts gene expression changes caused by compounds based on their molecular structure. First, we use Conductor AI to execute billions-scale virtual screening campaigns. Then we identify structures that modulate gene expression toward desired transcriptomic signatures. Finally, we synthesize the compounds and confirm them in our lab.

Throughout, we optimize for molecules with therapeutic effects while also predicting off-target activity and toxicity markers. Our predictive transcriptomic approach quantifies biological risk factors early in discovery, complementing physiochemical property prediction. By directly predicting changes in gene expression, Conductor AI is able to illuminate diverse chemical structures with therapeutic potential, enabling faster and broader exploration of chemical space to discover favorable molecules.

Unprecedented Speed & Scale

Our Drug-Gene Atlas superpowers drug discovery and time to market. We screen compounds in our high-throughput lab across the whole transcriptome with parallel discovery and full profiles of every compound. These profiles surface risk factors like off-target activity and toxicity preemptively, providing an opportunity to optimize around these hazards.

Then in virtual screening with Conductor AI, novel compounds can be predicted where benefits are dialed in and risks are screened out.

Our dataset creates a more efficient discovery pipeline, integrating with data sources to identify fast paths to market including genetically-defined rare and orphan designated indications. And our approach extends to transcriptional repression and other modalities, identifying differentiated approaches to go after high-priority targets and diseases in larger disease areas. The result is that Transcripta can discover dozens of treatments at 10X capital efficiency and with higher certainty.

A faster path to the clinic begins at Transcripta.

Employee benefits

Learn about the employee benefits and perks provided at Transcripta Bio.

View benefits

Healthcare benefits

Premium health, dental, and vision insurance

Equity benefits

Competitive salary and equity in a growing, well-funded startup

Generous vacation

Generous vacation policy, with company shut down between Christmas and New Years

Company retreats

Based in California, we are building this team remote-first – after the pandemic we will offer frequent team off-sites

View Transcripta Bio's employee benefits
Claim this profileTranscripta Bio logoTB

Transcripta Bio

Company size

11-50 employees

Founded in

2020

Chief executive officer

Onno Faber

Employees live in

View company profile

Similar remote jobs

Here are other jobs you might want to apply for.

View all remote jobs

Remote companies like Transcripta Bio

Find your next opportunity by exploring profiles of companies that are similar to Transcripta Bio. Compare culture, benefits, and job openings on Himalayas.

View all companies

Find your dream job

Sign up now and join over 85,000 remote workers who receive personalized job alerts, curated job matches, and more for free!

Sign up
Himalayas profile for an example user named Frankie Sullivan