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Ai Phd Protein Jobs (NOW HIRING)

EVOZYNE INC

Applied AI Research Fellow

Chicago, IL · On-site

We are transforming how the industry approaches protein engineering. Our platform, EvoGen, is both ... Late-stage PhD student or postdoc in a quantitative or computational field * Hands-on experience ...

Systimmune

Director, Protein Engineering

Redmond, WA · On-site

$180K - $240K/yr

PhD in protein engineering, biochemistry, structural biology, molecular biology, bioengineering, or ... AI-based design) is strongly preferred. * Excellent scientific judgment and the ability to make ...

SystImmune, Inc

Director, Protein Engineering

Redmond, WA · On-site

$180K - $240K/yr

PhD in protein engineering, biochemistry, structural biology, molecular biology, bioengineering, or ... AI-based design) is strongly preferred. * Excellent scientific judgment and the ability to make ...

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Ai Phd Protein information

What are the key skills and qualifications needed to thrive as an AI PhD specializing in protein research?

To excel as an AI PhD in protein research, you need expertise in computational biology, machine learning, and protein structure analysis, typically supported by a doctorate in a relevant field. Familiarity with programming languages like Python, deep learning frameworks (e.g., TensorFlow or PyTorch), and bioinformatics tools is crucial. Strong problem-solving abilities, collaboration, and scientific communication skills help drive innovation and interdisciplinary research. These skills are essential to develop novel AI models for protein analysis, enabling advancements in drug discovery and biological understanding.

What types of interdisciplinary collaboration are common for AI PhD professionals working in protein research?

AI PhD professionals in protein research frequently collaborate with computational biologists, bioinformaticians, structural biologists, and wet-lab experimentalists. These collaborations are essential for integrating AI-driven predictions with experimental data and biological insights. Teamwork typically involves regular meetings to discuss data findings, model interpretations, and experimental validation plans. This interdisciplinary approach not only enhances research outcomes but also provides opportunities for AI specialists to broaden their expertise and contribute to impactful scientific discoveries.

What is the difference between Ai Phd Protein vs Bioinformatics Scientist?

AspectAi Phd ProteinBioinformatics Scientist
Required CredentialsPhD in AI, Computational Biology, or related fields; expertise in machine learning and protein analysisMaster's or PhD in Bioinformatics, Computational Biology, or related fields; strong programming skills
Work EnvironmentResearch labs, biotech companies, AI-focused startupsAcademic institutions, biotech firms, healthcare organizations
Industry UsageDeveloping AI models for protein structure prediction and analysisAnalyzing biological data, developing algorithms for genomics and proteomics

While both roles involve computational analysis in biology, Ai Phd Protein focuses on applying AI and machine learning techniques specifically to protein data, whereas Bioinformatics Scientists work broadly on biological data analysis and algorithm development in genomics and proteomics.

What is an AI PhD focused on protein research?

An AI PhD focused on protein research is a doctoral program where students use artificial intelligence and machine learning techniques to study proteins. This research often involves predicting protein structures, understanding protein functions, and modeling protein interactions using computational methods. Graduates contribute to advancements in drug discovery, disease understanding, and biotechnology by leveraging AI to analyze complex biological data. The interdisciplinary nature of this field combines computer science, bioinformatics, and molecular biology.
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Infographic showing various Ai Phd Protein job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Principal Scientist - Antibody Discovery/Protein Design

EVOLVEIMMUNE THERAPEUTICS INC

Branford, CT • On-site

Full-time

PTO

Re-posted 2 hours ago

Job description

Join a company where your science will directly shape the future of cancer immunotherapy

Who We Are

EvolveImmune Therapeutics is a privately-held, next-generation immuno-oncology company pioneering a new class of T cell engager therapies to transform cancer patient outcomes compared to current immunotherapies. Our first-in-category biotherapeutic EVOLVE platform utilizes integrated T cell costimulation to directly target tumor cells to deliver durable anti-tumor adaptive immune responses. Our lead asset, EVOLVE104, entered clinical trials in late 2025. Additional collaboration pipeline programs (with Abbvie) and wholly owned programs are progressing toward candidate nomination. EvolveImmune’s team consists of ~50 FTEs in R&D, business development, people & culture, finance and operations. Our newly expanded, state-of-the-art 20,000+ square foot laboratory and office space located in the New Haven, CT biotechnology corridor is convenient to the amenities of the Connecticut shoreline, the city of New Haven and easy travel options throughout the Boston/New York City corridor.

We're hiring a Principal Scientist to join our Biotherapeutics group focused on designing and advancing first-in-class immune-engaging biologics. If you’re a protein engineer with expertise in computational protein design with experimental experience in protein discovery and optimization through antibody display technologies with an interest in advancing drug candidate toward first-in-patient evaluation, this role offers real opportunity, purpose, and scientific challenge.

What You’ll Work on

  • Design and optimize novel antibody-based multispecifics targeting domains using AI/ML-model-based de novo sequence discovery
  • Lead antibody engineering and antibody display-based screening from idea to experimental execution including screening, hit prioritization, and initial characterization.
  • Optimize developability in lead optimization through computational and biophysical insights
  • Expand company computational protein design tools and capabilities
  • Collaborate across functional teams to support candidate selection and preclinical development
  • Present findings in a clear, compelling way to multidisciplinary teams
  • Mentor junior scientists and help shape our growing discovery efforts


_______________________________________

What You Bring

  • PhD in biochemistry, computational biology, or structural biology, and postdoctoral fellowship in a related field with 5+ years of antibody and biotherapeutic engineering industry experience
  • Foundation in protein design and molecular modeling using AI/ML
  • Yeast or alternative antibody display technologies experience from design through screening
  • Expertise in bispecific or multispecific protein design, expression, purification, and biophysical characterization
  • Strong communication, data interpretation, and cross-functional collaboration skills


________________________________________

What You’ll Gain

  • A hands-on, high-impact role shaping the design of next-generation immunotherapies
  • Opportunity to see your work move rapidly from concept to clinic
  • A visible position within the Biotherapeutics team, contributing directly to platform and pipeline innovation
  • A chance to collaborate across disciplines and influence key program decisions
  • Professional growth through exposure to diverse scientific challenges and cross-functional projects
  • Optional mentorship opportunities and the ability to help shape a growing discovery organization
  • A mission-driven, fast-paced biotech environment that values bold thinking and scientific excellence
  • A supportive, open culture built on collaboration, trust, and shared purpose

________________________________________

Why You’ll Love Working Here

• Direct impact: Your science will influence platform design and shape next-generation clinical programs.

• Cutting-edge science: Help pioneer new approaches to T cell redirection in solid tumors.

• Personal growth: Gain exposure to every stage of early discovery in a collaborative biotech setting.

• Collaborative culture: Join a supportive, curious, and driven team aligned around scientific innovation and patient outcomes.

• Top-tier facilities: Work in a brand-new, purpose-built lab and office space near New Haven, CT.

• Mission with meaning: Join a company working to give more patients real hope in the fight against cancer.

________________________________________

Additional Info

• This is a full-time, onsite position based in Branford, CT

• EvolveImmune requires COVID-19 vaccination; medical and religious accommodations will be considered

• We offer competitive salary, benefits, equity, and paid time off

• We are an equal opportunity employer and value diverse perspectives in all aspects of our work

• Learn more about our science and our team at www.evolveimmune.com

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Search Keywords

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