92 computer scientist jobs at 46 companies in Boston, MA
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Computer Scientist – Systems Security Research
Lexington, Massachusetts, United States
$140k-$200k/yrOnsiteFull Time
Riverside Research: Conducts independent scientific research for US national security.
3+ YOEThesis-based M.S. with 3+ years or Ph.D. in CS/CE/EE/cybersecurity or equivalent research experience; strong systems programming (C/C++, Rust, Python, Assembly); systems research experience; eligibility for Top Secret clearance.
Charles River Analytics: Develops human-centered AI and intelligent systems for national security.
5+ YOEB.S. in CS/Engineering or related; 5+ years in computer vision, ML, and image processing; proficiency in Python and C++; experience with robotics, proposal generation, and interacting with customers; US citizenship and ability to obtain clearance.
Consultant Scientist, Computer Aided Drug Design (CADD)
Watertown, Massachusetts, United States
$150k-$185k/yrHybridContract
PsiThera: Developing oral small-molecule drugs for immune and inflammatory diseases.
5+ YOEPhD required; 5+ years CADD/pharma experience; expertise in physics-based and AI/ML computational approaches; proficiency in scientific programming and molecular simulation; strong communication and collaboration skills.
Flagship Pioneering: Conceives, creates, and builds life science platform companies
3+ YOEMaster's degree plus 3+ years of relevant industry experience or PhD in a quantitative discipline; Python, scientific computing, complex dataset analysis, and expertise in statistics, machine learning, signal processing, or Bayesian modeling.
AstraZenecaLondon Stock Exchange: AZN: Global biopharmaceutical developing and manufacturing prescription medicines.
2+ YOERequires advanced training in bioinformatics, computational biology, data science, epidemiology, or a related field; biological dataset analysis, Python or R, statistics, machine learning, and NGS experience.
Python, R, machine learning, RNA-seq, DNA methylation, ChIP-seq, ATAC-seq, random forest, gradient boosting, transformers, GTEx, TCGA, TOPMed, UK Biobank, FinnGen, Mendelian randomization, DINO, UNI, CONCH, GitHub
Proxima: Uses AI to design proximity-based medicines for undruggable proteins.
Experience in mass‑spec sample prep and proteomics workflows, ability to operate/maintain LC/MS (Thermo Fisher Neo Vanquish, Orbitrap/Astral), collaborate with computational teams, and document scientific data.
Lila Sciences: Develops an AI platform for autonomous scientific research and discovery.
PhD or equivalent experience in computational biophysics/chemistry, deep hands-on MD and free-energy expertise, experience with OpenMM/OpenFE, ability to define and validate biophysics workflows for drug discovery.
ModernaNasdaq: MRNA: Develops and manufactures messenger RNA medicines and vaccines.
5+ YOEPhD and ≥5 years post-PhD experience in TCR/protein engineering, directed evolution, display screening, biophysical and functional assays; ability to lead optimization campaigns and collaborate with computational teams.
Manifold Bio: Designing tissue-targeted protein therapeutics using AI and in vivo screening.
4+ YOEPhD and/or 4+ years in computational biology, bioinformatics, protein engineering, or related field; strong Python, data pipelines, Unix, and antibody engineering experience; experience with MPRA/NGS data; collaboration skills.
Broad Institute: Conducts genomic research to understand and treat human diseases.
0+ YOEPhD required in computer science, mathematics, bioinformatics, physics or related; strong computational and data analysis skills; excellent communication; experience developing software; 0+ years experience.
Brown University: Private research university offering undergraduate and graduate degree programs.
2+ YOEMaster's in computer/data science or related, 2+ years related experience, 1-2 years AI-based image analysis, strong Python and ML/DL experience, HPC/cloud experience, familiarity with foundation models and privacy-compliant deployments.
Archbald or Camden or Chelmsford or Goleta or Grand Prairie or Lufkin or Ocala or Orlando or Troy
$105k-$185k/yrHybridFull Time
Lockheed MartinNYSE: LMT: Designs and manufactures global security and aerospace systems.
Bachelor's in Engineering/Computer Science/AI or related; experience with structured and unstructured data, SQL and Python proficiency, familiarity with SAP HANA/EDW, ability to develop prototypes to production; U.S. citizenship and ability to obtain Secret clearance.
Peraton: National security and mission-critical government technology services provider.
10+ YOEPhD in Computer Science or related + 10+ years experience, strong cybersecurity/AI research background, hands-on ML (transformers, PyTorch, TensorFlow), proposal writing and customer engagement, US citizenship with Top Secret/SCI eligibility.
Dayhoff Labs: AI-driven discovery for synthetic biology and chemical processes.
PhD in computational/theoretical chemistry with catalytic focus, first-author publications, production quantum-chemistry package fluency, DFT and kinetics expertise, Python and computational-chemistry stack experience.
Peraton: Provides advanced technology and mission support for government agencies.
10+ YOEPhD in Computer Science (or related) with 10+ years experience, strong research and development background in cybersecurity/systems, hands-on AI experience (transformers, PyTorch, TensorFlow), proposal and DARPA leadership experience, US citizen able to obtain Top Secret/SCI.
Foundation Alloy: Manufacturer of high-performance alloys using solid-state manufacturing.
5+ YOEAdvanced degree (MS or PhD) in materials science, metallurgy, or related engineering field; 5+ years industry experience; experience in metallurgical processing, alloy design, computational design tools, characterization techniques, and leadership/mentorship.
Mass General Brigham: Provides integrated medical care, research, and clinical training services.
Experience in microbiome bioinformatics and machine learning, advanced deep learning skills, Python and PyTorch experience preferred, Git and SLURM familiarity, ability to manage large biomedical datasets and contribute to publications/grants.
PhD in computer science or equivalent, publication record, experience with simulators and robots, training large models, robot manipulation, and Python programming.
3+ YOEPhD in bioinformatics/computational biology/systems biology, 3+ years industry or postdoc experience; strong RNA-seq, scRNA-seq, and long-read sequencing (Nanopore/PacBio) analysis; Python/R, Linux, HPC/AWS proficiency; reproducible research skills.