Data Science & Machine Learning Intern (Summer 2025)

Senior Scientist / Associate Director, Oligonucleotide Therapeutics

(Senior) Director, CMC

Computational Microscopy Engineer IV

Manager / Associate Director, Laboratory Operations and Materials Management

(Senior) Vice President, Therapeutic Discovery

Associate Director, Financial Planning & Analysis

1910 Genetics

20n Bio

3DBio Therapeutics

3T Biosciences

4D Molecular Therapeutics

64x Bio

76Bio

A-Alpha Bio

A2 Biotherapeutics

AAVogen

ACELYRIN

AI Proteins

AIRNA Bio

ALX Oncology

AN2 Therapeutics

AOA Dx

ARTBIO

AUM BioTech

AVROBIO

Ab Studio

Abalone Bio

Abata Therapeutics

Abeona Therapeutics

Abintus Bio

Abiosciences

Absci

Accelevir Diagnostics

Accent Therapeutics

Acepodia

Achieve Life Sciences

Acomhal Research

Acrivon Therapeutics

Actym Therapeutics, Inc.

Acutis Diagnostics

Adaptive Phage Therapeutics

Adcentrx Therapeutics

Adicet Bio

Aditum Bio

Admera Health

Adverum Biotechnologies

Aeglea BioTherapeutics

Aether Bio

Affini-T Therapeutics

Affinia Therapeutics

Affinivax

AgBiome

Agastiya Biotech

Agena Bioscience

AiViva Biopharma

Ainnocence

AivoCode

Aixa Bio

Akero Therapeutics

Akita Biosciences

Akouos

Alamar Biosciences

Alector

Alida Biosciences

AlivaMab Discovery Services

Alkahest

Alladapt Immunotherapeutics

Allakos

Allarta Life Science

Allay Therapeutics

AlloVir

Alloy Therapeutics

Alltrna

AlpaLifeBio

Alpha-9 Oncology

Alphabioregen

Alpine Immune Sciences

AltPep

Alterome Therapeutics

Altis Biosystems

Alto Neuroscience

Alumis

Alveo Technologies

Alveolus Bio

Alzheon

AmbAgon Therapeutics

Amberstone Biosciences

Amolyt Pharma

Amylyx Pharmaceuticals

AnHeart Therapeutics

Anagram Therapeutics

Ancora Biotech LLC

Andes

Andson Biotech

Anebulo Pharmaceuticals

Angiex

Angiocrine Bioscience

Anima Biotech

Ankyra

Annexon Biosciences

Anodyne Nanotech

Anokion

Ansa Biotechnologies

Antheia

Anthos Therapeutics

Apaxon Biotech LLC

Insitro is using AI to power drug discovery. Pharmaceutical R&D is an expensive and time consuming process that does not guarantee success. Insitro is combining modern biological tools with machine learning to better predict drugs with a higher chance of clinical success. To achieve this, Insitro requires expertise in engineering (both software and bio), cell biology and drug development. By having this collaborative approach, Insitro can generate high-quality, large biological datasets that are compatible with machine learning. Biological data includes human population scale genetic and phenotypic data, as well as in vitro cell-based disease models. Insitro is therefore an integrated outcome of both in vitro and in silico methods.

<p>Insitro is using AI to power drug discovery. Pharmaceutical R&amp;D is an expensive and time consuming process that does not guarantee success. Insitro is combining modern biological tools with machine learning to better predict drugs with a higher chance of clinical success. To achieve this, Insitro requires expertise in engineering (both software and bio), cell biology and drug development. By having this collaborative approach, Insitro can generate high-quality, large biological datasets that are compatible with machine learning. Biological data includes human population scale genetic and phenotypic data, as well as in vitro cell-based disease models. Insitro is therefore an integrated outcome of both in vitro and in silico methods.</p>


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