Location: This role will be based on-site at our Boston, MA office.
Travel: Less than 10% travel
Job ID: 1462

The Role: 

We are looking for a Fabrication Research Scientist. As a Fabrication Research Scientist, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. 

In this role, you will design, fabricate, and test optical circuits for optical interfaces to qubits. You will develop integration techniques for combining optical and electronic devices that optimize for system level performance. You will lead efforts to fabricate and test these devices at foundry scale.

Responsibilities:

• Work with architecture teams to turn system level specifications into component level specifications and design rules 
• Design optical circuits taking into account target performance, fabrication capabilities, and interactions with other components 
• Fabricate test devices in a user facility 
• Build relationships with external vendors to scale up fabrication and testing
• Partner with internal test and measurement teams to ensure devices meet target specifications

Requirements:

• 5 + years of experience fabricating optical or quantum devices 
• A PhD in electrical engineering, physics, or a related field
• Experience leading cross disciplinary teams within large projects 

Preferred Qualifications:

• Experience hiring and training new teams for research and development work
• Knowledge of cryogenic testing and operation 
• Familiarity with architectures for distributed quantum computing, sensing, and networking

The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

We are looking for a Lead Microwave Research Scientist. As a Microwave Research Scientist, you’ll be part of a cross-functional team whose mission is to work with IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. In this role, you will develop the requirements for microwave circuits that enable new functionalities for quantum devices. You will design, fabricate, and test microwave circuits for electronic control of qubits. You will develop integration techniques for combining these circuits with optical and electronic devices that optimize for system level performance. You will lead efforts to fabricate and test these devices at the foundry scale.

Responsibilities: 

• Work with architecture teams to turn system-level specifications into component-level specifications and design rules
• Design microwave circuits taking into account target performance, fabrication capabilities, and interactions with other components
• Fabricate test devices
• Own relationships with external vendors to scale up fabrication and testing
• Work with internal test and measurement teams to ensure devices meet target specifications

You’d be a good fit with:

• 5 + years of experience fabricating microwave devices
• PhD in electrical engineering, physics, or a related field
• Experience leading cross-disciplinary teams within large projects
  
  

You’d be a great fit with: 

• Experience with helping in acquiring independent funding for new initiatives
• Experience helping with hiring and training new teams for research and development work
• Knowledge of cryogenic testing and operation
• Familiarity with architectures for distributed quantum computing, sensing, and networking

Location: This role will work onsite at our office located in Boston, MA.
Travel: Less than 10% travel
Job ID:  1160

The approximate base salary range for this position is $141,670 - $181,482. The total compensation package includes base, bonus, and equity.

We are looking for a Senior Research Scientist for quantum memory development. As a Senior Research Scientist, you’ll lead part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. 

In this role, you will do pioneering work in quantum memories for long-range quantum networks and modular quantum computing. You will work with a world-class team of scientists and engineers to build systems that can rapidly process and store quantum information from photons and apply those systems to building scalable quantum computing systems. Your work will stretch from pioneering systems to operationalizing and scaling quantum memory systems that will be the backbone of the world’s largest quantum computers.

Responsibilities: 

• Design and test control sequences for quantum memories with high efficiency and fidelity
• Coordinate with photonic design and fabrication teams to produce high performance nanophotonic devices
• Optimize low-duty cycle tune-up routines to keep quantum memory systems running with high up time
• Continuously improve repetition rate, efficiency, and fidelity of quantum memories
• Interface with RF and optical engineers to scale the control and qubit routing systems for a large scale optical-interconnect architecture

You’d be a good fit with: 

• PhD in physics, applied physics, electrical engineering 
• Work in quantum optics and microwave control of qubits (ideally spin qubits in diamond)
• Experience designing and testing photonics 
• Experience in optically-mediated entanglement protocols between qubits

You’d be a great fit with: 

• Experience architecting high performance electro-optic systems
• Experience in cryogenics (especially dilution refrigerators)
• Experience in RF design
• Experience using Lumerical, Comsol, and/or Sonnet for photonics and RF design

Location: Boston, MA
Travel: Occasional domestic travel, 1 to 4 times per year.
Job ID:  IONQ-1269

The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, and equity.

Position Overview

Be on the leading edge of applying machine learning and data modeling to the world of advanced cyber security. As part of the Data Science team you will directly impact the product by modeling complex problems and developing production software. You will develop these models and algorithms in collaboration with Security Researchers, who are experts in cyber security attack techniques. This work provides the core detection capability for our customers.

Responsibilities

• Leverage large datasets to develop machine-learning and statistical models that can differentiate between normal and attack behavior.
• Own the prototyping, development, and testing of complex detection algorithms that implement these models and provide customers with real-time visibility.
• Analyze detection algorithm performance and present key findings to business leaders.
• Collaborate with Security Research, Data Engineering, and Software Engineering teammates.

Required Experience

• MS + 2 years of Data Science experience or PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience)
• Hands-on experience with machine-learning and statistical techniques
• Strong experience with Python and object-oriented programming
• Ability to work with datasets using SQL or other libraries (pandas, numpy, etc.)
• Familiarity with data structures and algorithms
• Linux and Git proficiency

Desirable Qualifications

• Familiarity with Spark or other distributed computing systems
• Experience with cloud computing platforms (AWS, Azure, GCP, etc.)
• Database experience (SQL or NoSQL variants)
• Experience working in a software development team
• Programming experience in C++, Scala/Java, Go, or other languages

Company Overview:

Strand Therapeutics is a clinical stage biotechnology company utilizing synthetic biology to genetically program mRNA to deliver truly revolutionary immunotherapies to patients.

Building on the idea of creating smart therapies based on Boolean logic circuits, Strand was started by biological engineers working together at MIT who were seeking to apply the concept of the emerging field of mRNA therapeutics. Strand's technology is therapeutic-area and mRNA modality agnostic where therapeutic proteins are encoded onto modified, self-replicating, or circular mRNA backbones which in turn are programmed with cell-specific sensors and circuits.

Today, Strand has established three platforms with one clinical stage asset and several programs in preclinical development as well as early discovery. Our lead program, STX-001, is currently being evaluated in a phase 1 clinical trial for solid tumors. Our corporate headquarters is located in the Fenway district of Boston, Massachusetts.

Become the next standout single strand!

Job Summary:

Strand is looking for people who have the enthusiasm and motivation to be a highly contributing member of a small but extremely productive team. This opportunity will offer the employee the ability to work in a matrix-based environment and be a part of the future strategy of the company.

We are looking for a highly motivated and innovative candidate for the role of Scientist / Senior Scientist of Analytical Development. The expectation is that the Scientist / Senior Scientist will have experience independently executing analytical experiments using HPLC/UPLC techniques. Reporting to the Associate Director of Analytical Development, the right candidate will be a strategic thinker that brings a leadership presence and enthusiasm for Strand along with a desire to conquer new challenges.

Primary Responsibilities:

• Leads development, execution, and validation of RP-IP/RP/IEX based analytical methods to establish identity, purity, potency, and stability criteria for early-stage mRNA and LNP formulations using UPLC-ESI-ToF, PDA, and CAD.
• Analyzes data and draws conclusions which drive screening, optimization, and scale-up efforts in mRNA and LNP Process Development.
• Serves as subject matter expert in analytical chemistry, mass spectrometry, and method qualification and transfer.
• Interfaces with external contract research organizations to ensure compliance with internal timeline and quality requirements.
• Mentors and develops junior scientists in analytical theory and in applications of analytical technology and software platforms.
• Created proprietary ToF mass spec oligonucleotide mass target and predictive sequence library software to rapidly profile known and identify unknown oligonucleotide mass signals.
• Maintains electronic notebook records and authors protocols.
• Contributes to data packages for regulatory submissions.
• Actively maintains current understanding of RNA and LNP landscape by attending conferences and other events.

Qualifications:

• B.S. or Advanced Degree in Chemistry, Chemical Engineering, Biology, Biochemistry, Molecular Biology or other relevant scientific discipline.
• 7+ years of experience with a focus on varying liquid chromatography modes (RP, RP-IP, AEX, SEC, etc), LC-MS, or capillary gel electrophoresis.
• Working experience in HPLC/UPLC method development.
• Experience with enzymatic and chemical reactions, PCR, plasmid processing, and standard analytical techniques for biologics or nucleic acid therapies.
• This position requires conducting laboratory experiments, excellent documentation review and writing skills, and the flexibility to work on multiple projects as needed.
• Understanding of process development, and/or regulatory aspects of mRNA-(lipid) nanoparticle products would be a plus.
• Ability to quickly adapt to change and thrive in a dynamic and entrepreneurial early-stage environment.
• A strong team player with excellent oral and written communication skills and a demonstrated ability to work independently.
• Independently motivated, detail oriented and good problem-solving ability.

Strand offers a fast-paced, entrepreneurial, team-focused small company environment. We also offer a top-notch benefits package (health, dental, life, open PTO, onsite lunch catering, commuter support and more) and work/life flexibility and integration. Being part of the Strand team allows you to become part of a small team that supports professional development while working together to meet Strand’s goals. 

Strand Therapeutics is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability, protected veteran status or any other basis protected by applicable law. Strand does not accept unsolicited resumes from any source other than directly from candidates.

Job Type: Full-time

Salary: $120,000 - $142,000 annually plus bonus and equity incentives

Company Overview:

PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotechs, we are poised to make a significant impact on how drugs are developed and brought to market.

Position Overview:

We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will have a strong foundation in machine learning and statistics with an interest in causal inference. A couple of recent preprints we’ve released to get a sense of the challenges:

• Causal Responder Detection (https://arxiv.org/abs/2406.17571)
• Robust CATE Estimation Using Novel Ensemble Methods. (https://arxiv.org/abs/2407.03690)

Key Responsibilities:

Technical Development:

• Implement and optimize ML algorithms, with a focus on causal ML applications in clinical trials
• Collaborate with senior data scientists to develop and improve our analytical platforms
• Work alongside clinical and biological experts to translate complex problems into technical solutions

Research & Analysis:

• Conduct rigorous statistical analyses of both randomized and observational data
• Develop and validate methods for responder identification and treatment effect estimation
• Document and present methodologies and results for internal and external stakeholders

Collaboration:

• Work cross-functionally with engineering and product teams
• Contribute to technical discussions and peer code reviews
• Support the preparation of technical documentation and research papers

Qualifications:

Education:

• Master's in Computer Science, Statistics, Data Science, Engineering or a related field
• Ph.D. is an advantage but not required

Experience:

• 3+ years of experience in data science or machine learning roles
• Experience with ML in a practical research or industry setting
• Background in statistical modeling and analysis

Skills:

• Strong programming skills in Python (R in addition - an advantage)
• Proficiency in statistical analysis and machine learning
• Experience with data visualization and communication of technical concepts
• Strong analytical and problem-solving skills

Preferred:

• Familiarity with causal inference concepts
• Experience in healthcare or biotech industry
• Experience with large-scale data processing

What We Offer:

• Join us on a mission to bring more effective drugs to more patients.
• The opportunity to work with an amazing team passionate about making a real-world impact.
• Extremely hard and diverse problem setting, in which the team is pushing the envelope.
• A collaborative and dynamic startup environment.
• Professional growth and development opportunities.

Position

Manifold's AI team is actively training protein foundation models on our proprietary experimental datasets. Our generative antibody design model, mBER, has already demonstrated controllable de novo binder design across multiple million-scale screening campaigns, and the team is now scaling foundation model capabilities to push well beyond current performance. We are looking for an AI/ML Scientist to join this effort. You will work alongside our existing model training team to accelerate the development of foundation models fine-tuned on Manifold's data, bringing additional depth in pre-training methodology, architecture development, and large-scale training. Your work will directly improve mBER's design capabilities and unlock new modeling paradigms for the broader team. You'll own foundation model projects end-to-end, from architecture selection and training infrastructure to evaluation against real experimental outcomes, while contributing to the team's shared research agenda.

This is an on-site role and can be based in either Boston, Massachusetts or San Francisco, California. Please only apply if you reside in these cities or are open to relocate. 

Responsibilities

• Advance the team's ongoing foundation model training efforts—pretraining, fine-tuning, and evaluating folding, docking, language, and generative design models on Manifold's proprietary experimental data
• Bring depth in training methodology, architecture selection, and optimization to complement the existing team's expertise
• Develop and scale training pipelines for distributed, multi-GPU and multi-node training runs
• Integrate foundation model outputs into mBER to improve binder design success rates and enable new design capabilities
• Design and execute ML experiments with clear hypotheses, rigorous evaluation frameworks, and systematic analysis
• Establish best practices for mixed-precision training, gradient checkpointing, and computational efficiency at scale
• Produce clear documentation and analysis supporting architecture and training decisions

Required Qualifications

• Demonstrated experience pretraining and/or fine-tuning protein foundation models (folding, docking, language models, or generative design) with published or otherwise demonstrable results
• Strong familiarity with AlphaFold architecture and training methodology
• 2+ years of hands-on experience with PyTorch and/or JAX for deep learning
• Experience with large-scale model training: distributed training, multi-GPU/multi-node setups, mixed precision, gradient checkpointing
• Solid understanding of deep learning architectures (transformers, attention mechanisms, diffusion/flow matching) and optimization techniques
• Experience working with protein structure data (PDB, mmCIF) and/or protein sequence datasets
• Strong statistical analysis and experimental design skills
• Proficiency in Python scientific computing stack (NumPy, Pandas, scikit-learn)
• Self-directed researcher who can balance guidance with independence
• Excellent written and verbal communication skills for cross-functional collaboration

Preferred Qualifications

• Experience with protein generative design methods (e.g., RFdiffusion, ProteinMPNN, flow matching approaches)
• Experience with protein language models (e.g., ESM family)
• Published research in computational biology, protein design, or structural biology
• Experience training on proprietary or domain-specific biological datasets
• Familiarity with Ray for distributed computing
• Experience with Kubernetes (EKS) and cloud computing platforms (AWS)
• Knowledge of protein engineering, directed evolution, or structural biology wet lab techniques
• Experience working with agentic AI coding tools for fast, parallelized execution of modeling experiments
• Previous biotech/pharma industry experience

This Role Might Be Perfect For You If:

• You have deep experience training protein foundation models and want to apply that expertise to some of the richest proprietary experimental datasets in the field
• You're excited about pushing beyond public model performance by leveraging unique, large-scale in vivo screening data
• You thrive in high-ownership roles where you can drive research direction while collaborating with a tight-knit, world-class team
• You want your models to directly impact real drug discovery programs

If you're excited to train the next generation of protein foundation models on uniquely powerful experimental data, please reach out to careers@manifold.bio.

Base Salary Range: $140,000-225,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Position

Manifold Bio is seeking an exceptional Machine Learning Scientist to lead research initiatives within our AI team and drive innovation in protein design methodologies. This role will support and enrich the team’s current generative de novo protein design capabilities, as well as break ground on building foundational models on relevant protein therapeutic properties including binding affinity, developability, and in vivo biodistribution and pharmacokinetic (PK) properties. You will be expected to independently conceive, design and execute high-impact research projects that push the boundaries of AI applications in protein design, while contributing to publications and representing Manifold’s scientific contributions to the broader research community.

This is an on-site role and can be based in either Boston, Massachusetts or San Francisco, California. Please only apply if you reside in these cities or are open to relocate. 

Responsibilities

• Lead independent research projects exploring novel AI/ML approaches for protein design and optimization
• Investigate and integrate novel data types to enhance our binder design capabilities and therapeutic development
• Develop and validate cutting-edge machine learning methodologies for molecular engineering applications
• Mentor and guide junior scientists and engineers in advanced ML techniques and research methodologies
• Drive strategic research planning and identify promising new directions for AI-driven drug discovery
• Lead cross-functional teams to translate research breakthroughs into therapeutic applications
• Provide scientific expertise for business development opportunities and strategic partnerships

Required Qualifications

• PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or related field
• 5+ years of industry experience in machine learning research, preferably in biotechnology or pharmaceutical settings
• Expert-level proficiency in PyTorch and/or JAX with extensive experience in novel architecture development
• Deep expertise in protein structure analysis, molecular dynamics, computational biology, or structural bioinformatics
• Extensive knowledge of modern AI advances in protein analysis, design, and optimization
• Advanced understanding of deep learning architectures, particularly transformers for molecular applications, as well as generative modeling approaches (autoregressive, diffusion, flow-matching, etc.)
• Proven experience leading research teams and mentoring junior scientists
• Strong background in statistical analysis, experimental design, and rigorous scientific methodology
• Experience with distributed computing, high-performance computing, and large-scale ML system design
• Outstanding written and verbal communication skills with experience presenting to scientific and business audiences
• Demonstrated ability to translate research innovations into practical applications

Preferred Qualifications

• Previous experience in biotech/pharma industry with focus on AI-driven drug discovery
• Knowledge of protein engineering, directed evolution, or structural biology wet lab techniques
• Experience with large-scale data engineering, cloud platforms, and production ML systems
• Demonstrated track record of published research in top-tier ML, computational biology, or protein design journals
• Track record of successful grant funding and research proposal writing
• Experience with regulatory considerations for AI applications in therapeutic development
• Strong network within the computational biology and protein design research communities
• Demonstrated leadership in cross-functional scientific teams
• Experience with intellectual property development and patent applications

This Role Might Be Perfect For You If

You are passionate about leveraging state of the art machine learning approaches to solve challenging disease areas

• You have rich AI/ML experience and are looking to pivot into biotech

If you're excited to build scalable ML systems that revolutionize protein therapeutic discovery, please reach out to careers@manifold.bio.

Base Salary Range: $140,000-225,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

ABOUT THE ROLE

The Sr. Scientist LNP Formulation & Process Development will contribute to the development and optimization of nChroma’s Lipid Nanoparticle (LNP) formulations and collaborate with both internal research teams and external CROs/CDMOs to support multiple programs spanning early research and development. 

RESPONSIBILITIES

• Leverage both internal team and external CROs to optimize and produce high quality LNPs to support efforts spanning early research and development.
• Provide SME support for external production with our CDMO partners.
• Lead from the bench and contribute to a high-performing Formulation & PD team, including initiating excellent laboratory and documentation practices, and providing mentorship and development opportunities for junior team members.
• Contribute as CMC representative for GMP production support & regulatory filings as needed. Collaborate with key stakeholders from research, drug substance, analytical development, pharmacology and other internal functions to support program, department, and corporate goals.

SKILLS & COMPETENCIES:

• Hands on experience with LNP formulation including optimization, conjugation, scale-up.
• Direct managerial experience.
• Excellent analytical, problem solving and critical thinking skills, including an ability to combine attention to detail with a big picture perspective.
• Strong oral and written communication skills with experience presenting scientific research.
• Ability to thrive in a fast-paced, innovative, and, at times, uncertain or changing environment while remaining flexible, proactive, and resourceful.
• Adept at prioritizing and managing multiple tasks simultaneously, integrating cross-functional issues, and balancing competing priorities effectively.
• Collaborative and team-oriented mindset with a desire to positively impact culture.

QUALIFICATIONS:

• 4-5 years in the biopharmaceutical industry with a proven track record with nucleic acids delivery, LNP formulation and scale up, including tech transfer to GMP suites.
• Advanced degree in Chemistry, Biophysics, Biochemistry, Bioengineering, or related life sciences with strong scientific background.
• Preferred in-depth experience with analytical assays for LNP characterization.
• Experience providing guidance and mentorship to junior scientists.
• Experience supporting development programs, including communicating between CMC and Program Teams.

The salary range for this role is $145K - $175K

About SimpliSafe

SimpliSafe is a leading innovator in the home security industry, dedicated to making every home a safe home. With a mission to provide accessible and comprehensive security solutions, we design and build user-centric products that empower individuals and families to protect what matters most.

We believe in a collaborative and agile environment where learning and growth are continuous. Our teams are composed of talented individuals who are passionate about technology, security, and delivering exceptional customer experiences.

We’re embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done.

Why are we hiring?

Well, we’re growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure.

About the Role

We are seeking a highly motivated and experienced Machine Learning Scientist to join our growing Engineering team. As a key contributor, you will play a crucial role in developing and implementing cutting-edge machine learning models, with a focus on Computer Vision (CV), Multi-modal Large Language Models (LLMs) and Agentic AI to enhance our products and services.

Responsibilities:

• Develop and fine-tune large language models (LLMs) and vision-language models (VLMs) to address real-world challenges in the home security space
• Work with key stakeholders to identify key research initiatives that can have impact on business outcomes. 
• Take research initiatives from idea generation to production.
• Collaborate with engineers and product managers to integrate capabilities into our existing systems.
• Stay up-to-date on the latest advancements in LLMs, VLMs, and multimodal systems. Evaluate new techniques for potential adoption and improvement of internal capabilities.

Qualifications:

• MS or PhD in Computer Science, Artificial Intelligence, or a related field.
• Experience training or fine-tuning large language models (LLMs) using modern frameworks.
• Strong grasp of deep learning, particularly transformer architectures and foundational model training techniques for text and vision modalities.
• Proficient in Python and relevant ML libraries (e.g., PyTorch, TensorFlow, HuggingFace Transformers).
• Hands-on experience in developing and deploying LLM- or VLM-powered applications.
• Familiarity with prompt engineering, retrieval-augmented generation (RAG), MCP (Model Context Protocol, Agentic AI and evaluation of generative models.
• Understanding of MLOps practices and how to scale experiments into production-grade solutions.
• Strong communication and documentation skills.
• Collaborative mindset with the ability to thrive in a fast-paced, interdisciplinary environment.

Bonus Points:

• Experience with speech recognition, natural language understanding, or natural language generation.
• Publication in posters, conference proceedings, journal articles, workshops etc.
• Familiarity with cloud computing platforms (e.g., AWS, GCP).
• Contributions to open-source NLP, LLM or CV projects.

What Values You’ll Share

• Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
• Aim High - Always challenging ourselves and others to raise the bar.
• No Ego - Maintaining a “no job too small” attitude, and an open, inclusive and humble style.
• One Team - Taking a highly collaborative approach to achieving success.
• Lift As We Climb - Investing in developing others and helping others around us succeed.
• Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.

What We Offer

• A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive  
• A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
• Free SimpliSafe system and professional monitoring for your home. 
• Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

The target annual base pay range for this role is $127,300 to $186,700.

This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees’ job-related skills, experience, qualifications, work location, and other relevant business factors. 

Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.

We’re committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.

Company Overview

Tango Therapeutics is a biotechnology company dedicated to discovering novel drug targets and delivering the next generation of precision medicine for the treatment of cancer.

Using an approach that starts and ends with patients, Tango leverages the genetic principle of synthetic lethality to discover and develop therapies that take aim at critical targets in cancer.

This includes expanding the universe of precision oncology targets into novel areas such as tumor suppressor gene loss and their contribution to the ability of cancer cells to evade immune cell killing.

The Tango labs and offices are located at 201 Brookline Avenue, in the Fenway area of Boston, Massachusetts

Summary

Tango Therapeutics has an exciting new opportunity for an experienced and innovative translational scientist in our Translational Medicine Team, to lead clinical biomarker development, in vitro diagnostic and companion diagnostic activities in support of ongoing clinical trials.  This role will drive cross functional collaboration among discovery biologists, translational scientists, clinical operations, data management, regulatory, clinical compliance and quality groups to deliver biomarker insights to clinical development teams.  Additionally, this position will administer operational aspects of clinical biomarker assays in clinical trials, including management of internal and external translational collaborations, third party laboratories and other clinical partners.

Your Role

• Oversee design, development, validation, verification and implementation of translational and clinical-grade biomarker assays to inform essential clinical research questions
• Compile clinical biomarker assay data, conduct in-stream analyses, and package those translational insights for communication to key stakeholders throughout the clinical development organization
• Author and contribute content to biomarker plans and clinical study protocols
• Execute risk management of novel clinical biomarker assays, managing oversight and quality control of pre-analytic, analytic, and post-analytic assay components
• Perform technical assessments of existing and novel clinical biomarker assays and assay platforms for suitability, validity, clinical utility, robustness, and feasibility to meet business objectives
• Identify and vet translational and clinical biomarker assay vendors according to Tango’s GxP processes
• Manage relationships with third party vendors to ensure clinical biomarker assay outputs are delivered on-time, on-budget, and on-target to meet or exceed functional requirements and business objectives
• Install data transfer specifications with clinical biomarker assay laboratories, working in partnership with Tango’s clinical data management organization
• Contribute scientific expertise and biomarker data analysis in support of IVD regulatory submissions
• Contribute to optimization of translational medicine business process infrastructure
• Additional duties and responsibilities as required

What You Bring

• Advanced degree in biological sciences or related, with at least 5 years relevant translational clinical experience in biopharma
• Experience in oncology drug development
• Track record of developing successful translational clinical assets in a biopharma setting
• Demonstrated proficiency in clinical biomarker data generation, aggregation and analysis
• Demonstrated facility in a GxP setting
• Familiarity with domestic and/or international regulatory review and approval of IVD assays
• Outstanding analytical skills, a highly organized approach and exceptional attention to detail
• Proven track record as a collaborative team player, with superior communication style and well-developed interpersonal skills
• Ability to thrive in an interdisciplinary setting across pre-clinical and clinical development arenas, and with colleagues at all levels

This is a hybrid/flexible role!

#LI-Hybrid

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About the Position

As a Senior Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable insights. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives. 

Responsibilities

• Lead and execute complex data science projects that directly advance our drug development portfolio 
• Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
• Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints 
• Aid in the development and training of AI agents to automate and optimize biomedical workflows 
• Collaborate cross-functionally with clinical, technical, and research teams 
• Present complex analytical findings to senior stakeholders, including executive leadership 

About You

Required Qualifications 

• PhD in computational sciences or life sciences 
• 3+ years of post-academic experience in life sciences (biotech, pharma, consulting) 
• Strong programming skills, particularly in Python 
• Extensive experience in multi-modal bioinformatics analysis 

Preferred Qualifications 

• Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases 
• Strong background in machine learning and deep learning, particularly in biological applications 
• Experience with large language models (LLM)
• Demonstrated ability to collaborate effectively with engineering teams on production systems
• Strong communication skills with proven ability to present complex technical findings to senior stakeholders 

Total Compensation Range: $170,000 - $215,000

About the Position

As a Principal Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. In this role, you'll pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. You'll develop state-of-the-art models for automated image analysis, disease progression monitoring, and treatment response assessment. Working closely with clinical teams, radiologists, and drug development experts, you'll translate complex imaging data into actionable insights that drive key decisions across our portfolio. This position offers a unique opportunity to revolutionize how medical imaging is leveraged in pharmaceutical development while directly impacting patient care.

Responsibilities

• Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications
• Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas
• Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl. AI-based biomarkers and surrogate endpoints
• Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows
• Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints
• Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets from multi-site clinical trials
• Present imaging insights and model performance to executive leadership and external partners

About You

Required Qualifications 

• PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging
• 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications
• Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis
• Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software
• Strong programming skills in Python with expertise in PyTorch/TensorFlow and medical imaging libraries
• Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
• Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders

Preferred Qualifications 

• Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools
• Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)
• Knowledge of clinical trial design and experience with imaging core lab operations
• Experience with federated learning or privacy-preserving techniques for medical imaging
• Understanding of radiomics and quantitative imaging biomarker development
• Experience with 3D image reconstruction and volumetric analysis

Total Compensation Range: $204,500 - $267,000

About the Position

As a Senior Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. In this role, you'll pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. You'll develop state-of-the-art models for automated image analysis, disease progression monitoring, and treatment response assessment. Working closely with clinical teams, radiologists, and drug development experts, you'll translate complex imaging data into actionable insights that drive key decisions across our portfolio. This position offers a unique opportunity to revolutionize how medical imaging is leveraged in pharmaceutical development while directly impacting patient care.

Responsibilities

• Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications
• Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas
• Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl. AI-based biomarkers and surrogate endpoints
• Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows
• Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints
• Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets from multi-site clinical trials
• Present imaging insights and model performance to executive leadership and external partners

About You

Required Qualifications 

• PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging
• 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications
• Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis
• Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software
• Strong programming skills in Python with expertise in PyTorch/TensorFlow and medical imaging libraries
• Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
• Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders

Preferred Qualifications 

• Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools
• Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)
• Knowledge of clinical trial design and experience with imaging core lab operations
• Experience with federated learning or privacy-preserving techniques for medical imaging
• Understanding of radiomics and quantitative imaging biomarker development
• Experience with 3D image reconstruction and volumetric analysis

Total Compensation Range: $177,500 - $232,000

About the Position

We're looking for a Senior Data Engineer to join the Scientific Data Intelligence (SDI) team at Formation Bio to help transform Real World Data (RWD)—spanning electronic health records, claims, and other longitudinal patient data sources—into structured, analytics-ready assets. In this role, you'll be partnering closely with our Data Science team not only to model and transform data, but also to actively analyze it: answering research questions, generating evidence, and supporting scientific decision-making across our drug portfolio.

This position sits at the intersection of healthcare data engineering, real-world evidence analysis, and generative AI. While a strong foundation in building reliable, scalable pipelines is essential, you'll be equally expected to roll up your sleeves and work directly with the data—constructing cohorts, running analyses, and translating findings into actionable insights for scientific and business stakeholders.

The ideal candidate is a hybrid of data engineer and applied scientist: someone who can build the infrastructure and then use it, with familiarity in RWD study design, GenAI fluency (e.g., LLM-based entity extraction, summarization, classification), and strong technical expertise with modern data tooling. You'll play a key role in shaping how real-world patient data becomes discoverable, structured, and impactful across the organization.

Responsibilities

• Model and transform raw EHR and claims data into clean, canonical, and analytics-ready datasets using SQL, Python, and clinical standards like OMOP.
• Build and manage scalable data pipelines using Dagster for orchestration, dbt for transformation, and Snowflake as the primary compute and storage engine.
• Conduct hands-on RWD analyses to answer scientific and strategic research questions—including disease epidemiology, treatment patterns, patient journey characterization, and comparative effectiveness.
• Partner with Data Scientists and clinical leads to design and execute observational studies, translating scientific questions into well-structured, reproducible analyses.
• Implement data validation, completeness, and observability frameworks to ensure real-world datasets are accurate, comprehensive, and trustworthy for downstream research and product use.
• Apply Generative AI techniques within transformation and analysis layers to accelerate data structuring and insight generation.
• Communicate findings clearly to both technical and non-technical stakeholders, including summaries for portfolio teams and leadership.

About You

• You have 5+ years of experience in data engineering, ideally with at least 2 years working in healthcare or life sciences, including direct exposure to EHR or claims datasets.
• You have experience with ontologies and biomedical schemas (e.g. UMLS, LOINC, ICD9/10, MeSH) and understand the modalities found within RWD — billing claims, lab results, visit notes.
• You're fluent in SQL and Python, and you've built and maintained production-grade pipelines that support analytics or scientific workflows.
• You have experience building longitudinal patient cohorts from EHR or claims data, including index date logic, washout periods, and follow-up window construction.
• You have a solid understanding of the causal inference frameworks such as potential outcomes and target trial emulation. 
• You have working familiarity with real-world evidence study design concepts—such as active comparator new user designs, time-to-event outcomes, confounder adjustment, and causal discovery algorithms—sufficient to partner effectively with Data Scientists on causal inference workflows.
• You value clarity, documentation, and structured thinking—especially when working with complex healthcare data.
• You have hands-on expertise with modern data infrastructure, such as Snowflake, dbt, and Dagster.
• You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details.
• Bonus: You've worked in regulated or privacy-sensitive data environments and are familiar with governance models for PHI or sensitive data.
• Bonus: You have prior experience working with commercial RWD vendors (e.g. Truveta, Optum, Komodo, IQVIA) and understand the nuances of licensed claims and EHR datasets, including longitudinal patient journey construction and line-of-therapy sequencing.

Total Compensation Range: $204,500 - $267,000

About the Position 

As a Data Scientist on the platform prediction team, you'll translate our probability of success predictions into measurable portfolio-level outcomes. You'll architect core systems — order management, execution simulation, portfolio construction, risk monitoring, and performance attribution — that let us rigorously evaluate signals from our AI-driven predictions in public and private equities and our internal portfolio.

This role sits at the intersection of quantitative finance, healthcare data, and AI-driven drug development. If you're excited about applying portfolio construction and risk management fundamentals to one of the most consequential prediction problems in healthcare, this is the role.No other company — hedge fund or pharma — has a technical data science position translating drug development experience into durable AI-native portfolio strategies. The skills you develop here — portfolio construction over assets with radically asymmetric risk profiles, clinical trial analytics, AI/ML in production, and risk management across multi-year horizons — can directly impact the delivery of new and effective therapeutics to patients by best aligning impactful medicines with economic incentives.

Responsibilities

• Work with the team to implement and maintain core portfolio engine: order management system, execution simulation layer, portfolio construction service, and performance tracking
• Design risk frameworks that quantify exposure across a portfolio of drug development bets with radically different risk profiles, timelines, and failure modes
• Run rigorous backtesting experiments with strict temporal constraints to evaluate Formation strategies against baseline approaches and measure marginal signal from new evidence sources
• Coordinate across the organization to integrate internal Formation data sources (clinical trial data, genomic evidence, real-world data) and proprietary tooling into portfolio analytics pipelines
• Work with product and engineering teams to build dashboards and reporting that communicate portfolio performance, risk metrics, and strategy comparisons to both technical and executive stakeholders
• Collaborate with the broader data science team to ensure portfolio-level evaluation feeds back into model improvement and evidence prioritization

About You 

Required Qualifications

• MS or PhD in a quantitative field (statistics, finance, physics, computational science, engineering, or related)
• 1-3 years in a quantitative research, data science, or analytics role — finance, healthcare, academic research, or consulting all count; substantive internships qualify
• Strong Python programming skills with experience in data-intensive workflows (pandas, numpy, scipy)
• Solid grasp of core portfolio construction and risk concepts: position sizing, rebalancing, Sharpe ratio, drawdown, volatility, benchmark comparison
• Demonstrated ability to work with messy, real-world datasets — comfortable with data wrangling, deduplication, and quality assessment
• Clear communicator who can present quantitative results to both technical peers and business stakeholders

Preferred Qualifications

• Experience with backtesting frameworks or portfolio simulation (vectorbt, Backtrader, or custom implementations)
• Exposure to healthcare, pharma, or biotech data (clinical trials, claims data, -omics, real-world evidence)
• Familiarity with alternative data in a research or investment context
• Experience with probability-of-success modeling, drug development decision analysis, or health economics
• Comfort with LLMs or AI/ML pipelines in a production or research setting
• Familiarity with dashboard/visualization tools (Streamlit, Plotly, Dash) and pipeline orchestration (Dagster, Airflow)

Healthcare OR finance domain knowledge is valued; both are not required.

Total Compensation Range: $154,500 - $202,000

About the Position

As a Principal Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable insights. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives. 

Responsibilities

• Lead and execute complex data science projects that directly advance our drug development portfolio 
• Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
• Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints 
• Aid in the development and training of AI agents to automate and optimize biomedical workflows 
• Collaborate cross-functionally with clinical, technical, and research teams 
• Present complex analytical findings to senior stakeholders, including executive leadership 

About You

Required Qualifications 

• PhD in computational sciences or life sciences 
• 5+ years of post-academic experience in life sciences (biotech, pharma, consulting) 
• Strong programming skills, particularly in Python 
• Extensive experience in multi-modal bioinformatics analysis 

Preferred Qualifications 

• Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases 
• Strong background in machine learning and deep learning, particularly in biological applications 
• Experience with large language models (LLM)
• Demonstrated ability to collaborate effectively with engineering teams on production systems
• Strong communication skills with proven ability to present complex technical findings to senior stakeholders 

Total Compensation Range: $204,500 - $267,000

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Boston, MA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

About the Role

As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.

This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors.

Responsibilities

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.
• Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.
• Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
• Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve.
• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
• Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
• Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.
• Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
• Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
• Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting.
• Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).

You May Be a Good Fit If You

• Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
• Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).
• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries.
• Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
• Thrive in ambiguity and bring structure where none exists.
• Have a builder's mindset — you're here to create a function, not join one.

COMPANY DESCRIPTION

Abiologics, Inc. is a privately held, early-stage biotechnology company on a mission to make biology better through an innovative therapeutic modality. We are pioneering the development of Synteins™, a transformational class of macromolecular medicines unlocked by novel synthetic and computational technologies. Abiologics is actively seeking exceptional scientists who are passionate about driving therapeutic modality innovation in biotechnology.

Abiologics was founded in Flagship Pioneering’s venture creation engine, where companies such as Moderna Therapeutics (NASDAQ: MRNA) and Generate Biomedicines were conceived and created. Since Flagship’s founding in 2000, the firm has originated and fostered the development of more than 100 scientific ventures resulting in more than 500 issued patents and more than 50 clinical trials for novel therapeutic agents.

THE ROLE

We are seeking an experienced and motivated Senior Scientist in Medicinal Chemistry specializing in miniprotein and peptide drugs. The successful candidate will lead projects in designing, synthesizing, and optimizing novel miniprotein therapeutics called Synteins™. This role offers a unique opportunity to bring a new drug modality from early-stage research through to clinical development.

KEY RESPONSIBILITIES

• Independently plan, execute, interpret, and optimize Syntein structure-activity campaigns through direct, hands-on laboratory work.
• Implement modern peptide chemistry and conjugation methodologies to accelerate optimization of miniprotein drug development.
• Collaborate with cross-functional teams including computational chemistry, biology, and pharmacology to drive project success.
• Drive bench-side innovation, ensuring that ideas transition seamlessly from concept to reality
• Mentor and guide junior scientists, fostering a collaborative and dynamic laboratory environment.
• Contribute to patent applications and scientific publications, showcasing lab innovation.

PROFESSIONAL EXPERIENCE & QUALIFICATIONS 

• Ph.D. (with a minimum of 5 years of industry experience) or M.S. (with a minimum of 12 years of industry experience) in Medicinal Chemistry, Synthetic Organic Chemistry, Chemical Biology, or related field
• Strong track record of laboratory-based innovation and problem-solving in drug discovery including optimization of affinity, selectivity, drug properties, and PK profile.
• Proven expertise in the hands-on peptide synthesis.
• Ability to lead and inspire a team of scientists in a dynamic research setting.
• Excellent communication skills for both technical and non-technical audiences.
• Able to work on-site and attend in-person meetings.

The salary range for this role is $126,000 - $181,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Abiologics, Inc currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Abiologics, Inc’s good faith estimate as of the date of publication and may be modified in the future.

COMPANY DESCRIPTION

Abiologics, Inc. is a privately held, early-stage biotechnology company on a mission to make biology better through an innovative therapeutic modality. We are pioneering the development of Synteins™, a transformational class of macromolecular medicines unlocked by novel synthetic and computational technologies. Abiologics is actively seeking exceptional scientists who are passionate about driving therapeutic modality innovation in biotechnology.

Abiologics was founded in Flagship Pioneering’s venture creation engine, where companies such as Moderna Therapeutics (NASDAQ: MRNA) and Generate Biomedicines were conceived and created. Since Flagship’s founding in 2000, the firm has originated and fostered the development of more than 100 scientific ventures resulting in more than 500 issued patents and more than 50 clinical trials for novel therapeutic agents.

THE ROLE

We are seeking an experienced and motivated Senior Scientist in Medicinal Chemistry specializing in miniprotein and peptide drugs. The successful candidate will lead projects in designing, synthesizing, and optimizing novel miniprotein therapeutics called Synteins™. This role offers a unique opportunity to bring a new drug modality from early-stage research through to clinical development.

KEY RESPONSIBILITIES

• Independently plan, execute, interpret, and optimize Syntein structure-activity campaigns through direct, hands-on laboratory work.
• Implement modern peptide chemistry and conjugation methodologies to accelerate optimization of miniprotein drug development.
• Collaborate with cross-functional teams including computational chemistry, biology, and pharmacology to drive project success.
• Drive bench-side innovation, ensuring that ideas transition seamlessly from concept to reality
• Mentor and guide junior scientists, fostering a collaborative and dynamic laboratory environment.
• Contribute to patent applications and scientific publications, showcasing lab innovation.

PROFESSIONAL EXPERIENCE & QUALIFICATIONS 

• Ph.D. (with a minimum of 5 years of industry experience) or M.S. (with a minimum of 12 years of industry experience) in Medicinal Chemistry, Synthetic Organic Chemistry, Chemical Biology, or related field
• Strong track record of laboratory-based innovation and problem-solving in drug discovery including optimization of affinity, selectivity, drug properties, and PK profile.
• Proven expertise in the hands-on peptide synthesis.
• Ability to lead and inspire a team of scientists in a dynamic research setting.
• Excellent communication skills for both technical and non-technical audiences.
• Able to work on-site and attend in-person meetings.

The salary range for this role is $126,000 - $181,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Abiologics, Inc currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Abiologics, Inc’s good faith estimate as of the date of publication and may be modified in the future.

Company Summary:

FL106 Inc., is a privately held, early-stage biotechnology company focused on developing novel drug delivery modalities. FL106 is backed by Flagship Pioneering, bringing the vision and resources to guide FL106 from platform validation to real-world solutions that meaningfully improve patient care.

Position Summary:

We are seeking a passionate, creative, and self-driven (senior) scientist with expertise in computational protein design and state of the art AI/ML tooling for antibody and protein design to join our team. This candidate will pioneer the design of novel protein-based delivery modalities and collaborate with the experimental teams to test and iterate on computational designs. S/he will thrive in an entrepreneurial, fast-paced, and highly collaborative start-up environment, with the opportunity to work closely with Flagship Pioneering founders and become a leader in advancing FL106’s scientific platform and patient-focused mission.

Responsibilities:

• Drive the AI/ML computational protein design
• Engage with Pioneering Intelligence at Flagship to explore and implement novel ML models that benefit FL106 design principles
• Advance both antibody engineering and de novo antibody design pipelines
• Collaborate closely with the FL106 experimental scientists to test and iterate on constructs
• Engineer novel functionalities into protein scaffolds, leveraging structural modeling, rational design, and/or directed evolution
• Be abreast of the computational protein design field to advise design and strategic directions for protein engineering, implementing the latest technologies where necessary
• Contribute to strategic direction of the computational team at FL106, helping shape our design platform at the forefront of scientific innovation
• Identify and lead external research relationships with academic and commercial partners
• Report results to scientific team and Flagship Pioneering management

Key Qualifications:

• Ph.D. (with 2+ yrs of industry research experience) in computational protein design, protein biochemistry, computational biophysics, computational biology, physics, or related field
• Expertise in computational protein modeling and design, structural biology, and biophysics is required
• Deep expertise with ML tools for computational protein design such as AlphaFold, RosettaFold, ESMFold, ProteinMPNN, RFDiffusion, Chroma, IgFold, DeepAb, Parapredis is required
• Experience with antibody and/or nanobody modeling and design is strongly preferred.
• Knowledge of critical wet-lab techniques used in protein engineering such as phage display, SPR, ITC, CD-spectroscopy is preferred
• Strategic thinker, able to shift seamlessly between rigorous scientific details and high-level context and implications
• Instinctive team player with excellent communication skills and great attention to detail

About Flagship

Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in generation of over 500 patents, initiation of over 50 clinical trials for novel therapeutic agents and an aggregate value of more than $90 billion. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

The salary range for this role is $115,000 - $258,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. FL108 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL108's good faith estimate as of the date of publication and may be modified in the future.

About the Opportunity

We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions.

Responsibilities

• Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications.
• Conduct rigorous analysis and validation of machine learning algorithms and prototypes.
• Explore novel methods for processing and analyzing large, complex medical imaging datasets.
• Collaborate with engineering teams to deploy ML algorithms in clinical practice.
• Present research findings, insights, and recommendations to internal stakeholders and external collaborators.
• Author scientific publications and contribute to patent development.
• Manage collaborative research projects with leading academic partners.

Requirements

• Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience.
• Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning.
• Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection.
• Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis).
• Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results.
• Ability to translate complex clinical requirements into machine learning solutions.
• Strong critical thinking, problem-solving, and project management skills.
• Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.

Preferred Qualifications: 

• 2+ years of postdoctoral research or industry experience.
• Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques.
• Strong domain knowledge in CT imaging and its clinical applications.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $186,000 - $212,000
• TTC: $214,000 - $245,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

About Rhino Federated Computing

Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data, apps, and models through federated computing. Our platform enables our customers to share business insight and processing without compromising intellectual property, data privacy, or data security. Our Rhino Federated Computing Platform offers flexible architecture across multi-cloud and on-prem hardware, end-to-end data management controls and workflows, and privacy enhancing technologies. Rhino is trusted by over 60 leading consortia and enterprises worldwide, including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies.

The company is headquartered in Boston, with an R&D center in Tel Aviv.

About the Role

As the Team Lead for the Forward Deployed AI Engineering Team, you will serve as a hands-on Player/Coach, leading a customer-facing AI engineering and scientist group responsible for deploying and scaling Rhino’s Federated Computing Platform (FCP) in complex, real-world environments. You will maintain a direct, hands-on contribution by working with customers’ technical and research teams to design, implement, and optimize federated AI models and systems. Critically, you will also coach, mentor, and manage a team of applied AI engineers, guiding them through federated model training, inference, deployment, and monitoring, while helping customers unlock the full potential of federated data collaboration. Your leadership will shape how federated AI is operationalized at scale. 

Key Responsibilities

Technical Leadership & Delivery

• Lead the design and delivery of federated AI solutions across imaging, text, and structured data domains.
• Design and implement federated training and inference pipelines, integrating data preprocessing, model orchestration, and AIOps tooling.
• Own project execution from scoping to deployment — ensuring clarity, speed, and technical excellence.

Customer Engagement & Enablement

• Partner directly with customers to understand workflows, map data ecosystems, and design scalable AI solutions.
• Serve as a trusted technical advisor on privacy-preserving ML, model optimization, and deployment best practices.
  Build long-term relationships that drive adoption and measurable outcomes for customer programs.

Team Leadership 

• Manage multiple concurrent engagements, balancing strategic leadership with hands-on problem-solving.
• Provide mentorship to Forward Deployed Engineers and Scientists, fostering a high-performance, learning-driven culture.

Product Feedback & Innovation

• Identify reusable solution patterns and contribute to the standardization of federated AI workflows.
• Surface customer insights and field feedback that shape Rhino’s roadmap.
• Collaborate with product and research teams to prototype and validate new federated learning research and frameworks.

Required Skills

• Experience: 5+ years in applied AI, machine learning engineering, or MLOps roles; experience deploying models in production environments.
• Technical Expertise: Deep hands-on experience with deep learning frameworks (PyTorch, TensorFlow, JAX) and AI/MLOps ecosystems.
• Generative AI Tools: Familiarity with LLM frameworks (GPT, Gemini, Claude, LangChain, agentic frameworks, etc.).
• Programming & Systems: Strong proficiency in Python, REST APIs, and data systems (SQL/NoSQL); comfort with cloud computing and GPU-based systems.
• Delivery Focus: Proven ability to own technical outcomes end-to-end, from scoping and prototyping to full-scale delivery.
• Collaboration: Excellent communication skills and the ability to operate across customer, product, and engineering teams.
• Mindset: Action-oriented, adaptable, and able to prioritize effectively in fast-changing environments.

Preferred Skills

• Industry experience in healthcare, biopharma, financial services, and public sector.
• Ph.D. or M.S. in a quantitative field (Computer Science, Engineering, Biomedical Informatics, Bioinformatics, Chemistry, or related).
• Prior experience deploying federated learning, privacy-preserving AI, or secure distributed computing systems.

Location 

Boston preferred, but open to other locations for highly qualified candidates.

Visa Sponsorship

We will sponsor visas for USA PhD candidates in the relevant areas - Mathematics, Artificial Intelligence, Federated Learning, Computational Chemistry/Biology/Biomedical candidates. An B.S./M.S. with extensive, directly relevant industry experience will also be considered.

September 24, 2025

Position:   
Senior Computational Biologist/ ML Scientist 

Company Overview:   
At Kernal Bio, we engineer human cells inside the body using selective mRNA-LNP technology to treat cancer and autoimmune diseases. Our AI-designed mRNAs, delivered via antibody-decorated lipid nanoparticles (LNPs), ensure precise targeting and minimize off-target effects. Our KR-402 program focuses on hematological malignancies and autoimmune disorders, achieving >90% in vivo delivery efficiency with T-cell-targeted LNPs. The KR-335 program, targeting solid tumors resistant to standard immunotherapies, shows a 100x therapeutic index with strong efficacy and tolerability in preclinical models, including mice and non-human primates.

With roots at MIT, Harvard, Merck, and BMS, our management team has spearheaded the development of three FDA-approved therapies and holds over 120 patents. Based in Cambridge, MA, and backed by Hummingbird Ventures, Amgen Ventures, NVIDIA, and NASA, Kernal Bio is revolutionizing mRNA therapeutics by leveraging AI to deliver precision treatments within the body. 

Job Summary 

Senior Computational Biologist/ ML Scientist 
We are seeking a Senior Computational Biologist to join our dynamic R&D team and spearhead our drug discovery efforts. This is a chance to move beyond routine data analysis and creatively apply advanced computational methods to solve complex biological challenges. You will be a key driver in designing next generation mRNA therapeutics, directly impacting our pipeline and scientific strategy.

The Role
As a core member of our research group, you will leverage your expertise to extract meaningful insights from diverse datasets. Your primary focus will be on applying sophisticated data science and machine learning techniques to biological questions. You’ll collaborate closely with diverse cross-functional teams, including our wet lab scientists, synthetic biology, and formulation teams, acting as a bridge between data and discovery.

Key responsibilities include:

Data Analysis & Modeling: Design and execute rigorous statistical and computational analyses by integrating and analyzing diverse omics datasets, including genomics, transcriptomics, proteomics, and single-cell sequencing data. You will also be responsible for developing, training, and deploying novel AI/machine learning models to predict biological outcomes and accelerate drug discovery.

High-Performance Computing: Efficiently manage and scale computational workloads by leveraging cloud computing platforms and utilizing NVIDIA GPU-accelerated computing for data processing and model training.

Scientific Communication: Prepare scientific manuscripts, contribute to intellectual property filings, and present your findings at leading scientific conferences and internal meetings.

Documentation & Workflow: Meticulously document all computational workflows, experimental results, and analyses in an Electronic Lab Notebook (ELN) such as Benchling and maintain rigorous version control and facilitate collaborative code development using platforms like GitHub.

Mentorship: Guide and mentor junior team members, sharing your knowledge of best practices in computational analysis and scientific inquiry.

Who We’re Looking For
We are looking for a creative and detail-oriented scientist with a proven track record. You should have a Ph.D. in Computational Biology, Bioinformatics, or a related field, along with a minimum of 3 years of experience in the biopharmaceutical industry.

You are a master of your craft with:

Deep Expertise: A strong background in the analysis of high-throughput biological data, including genomics, transcriptomics, proteomics, and single-cell sequencing.

Modern Skill Set: Experience applying machine learning and AI, with a solid theoretical grasp of algorithms like gradient descent, Bayesian optimization, and other heuristic search methods. Proficiency with large language models (LLMs) is a significant plus.

Accelerated Computing: Hands-on experience with NVIDIA GPU-accelerated computing is highly valued. Familiarity with CUDA, cuDNN, or NVIDIA Clara for bioinformatics applications will set you apart.

Programming Prowess: Exceptional fluency in Python and experience with workflow management systems, with a strong emphasis on version control using Git/GitHub.

Cloud Computing: Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud).

Intellectual Curiosity: A creative, out-of-the-box thinker who is eager to learn new methods and tackle complex problems head-on.

Collaborative Spirit: Excellent communication and time-management skills, with the ability to manage multiple projects and work effectively within cross-functional teams.

Benefits:

• Competitive 401(k)   
• Highly competitive healthcare coverage (PPO/HMO)
• Free parking, a monthly subway pass, or a subsidized commuter rail pass  
• Free Bluebike Membership
• Gym Membership Support   
• Flexible Spending Account 
• Paid parental leave, family caregiver leave, and medical leave  
• Paid life insurance coverage 
• On-site cafeteria  
• Competitive vacation and sick days per year 

Kernal provides a diverse work environment and is committed to equal employment opportunities for all its employees and qualified applicants. We do not discriminate in employment practices for the race, color, national origin, age, gender, sexual orientation, marital or veteran status, religion, disability, or any other legally protected status. Kernal Bio will make reasonable accommodations for qualified individuals with known disabilities in accordance with applicable law.

Summary

QuEra is seeking a talented AI scientist to explore the intersection of quantum computing and AI. This includes topics in "quantum for AI", such as development of quantum machine learning algorithms for generative tasks, integration of quantum computers into AI workflows, and augmentation of classical training with quantum methods. This may also include topics in "AI for quantum", such as AI compilation techniques for hardware execution, machine characterization and inference, decoding, and related topics. A strong candidate is expected to have deep hands-on experience with contemporary classical AI workflows, such as the large language models (LLMs), a strong understanding of the underlying theory of modern AI, and an understanding of quantum computing and quantum information theory.

As part of your role, you will spearhead efforts at QuEra to develop the next generation of quantum and AI algorithms guided by your experience with classical AI approaches. The role will include both cutting-edge research, as well as development and deployment of algorithms on the next generation of neutral-atom hardware. QuEra Computing is the leader in neutral-atom quantum computing, and is a front runner in the race towards utility-scale quantum computing. In this role, you will be at the forefront of integrating quantum algorithms with practical AI-driven toolchains, driving innovation across simulation, optimization, and quantum machine learning domains.

Qualifications

• PhD in math, computer science, quantum physics, or equivalent professional experience
• Strong hands-on expertise with modern AI/ML methods, such as deep learning and reinforcement learning, including practical usage of AI models such as LLMs in production or research environments.
• Understanding of quantum information theory and quantum computing fundamentals
• Experience deploying AI training and inference on HPC environments
• An excellent track record of publications in AI and/or quantum computing

Preferred Qualifications

• Strong experience in state-of-the-art quantum machine learning methods, such as quantum generative models and quantum reinforcement learning
• Experience in scientific software development, including prior open-source contributions

The approximate base salary range for this position is $145,600 - $227,500.

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

#LI-NB1

Job Title:         Quantum Scientist, Quantum Computing Services Job Type:                 Full-time

Job Location:      Boston, MA

Reports to:       VP of Quantum Computing Services

Summary:

QuEra is seeking a Quantum Scientist to join the Quantum Computing Services team at the QuEra headquarters in Boston. The team’s mission is to develop QuEra’s machines into cutting-edge quantum computing products and services; your role on the team will focus on the experimental aspects of calibration, compilation, and benchmarking.

In this role, you will be working with physicists and engineers over multiple locations where QuEra machines are installed, and across various functions at QuEra covering R&D, software engineering, and application development.

You will also interface with customers and collaborators to enable leading-edge scientific and demonstration projects on QuEra’s machines. Your initial focus will be on QuEra’s Gemini-class gate-based quantum computing systems deployed in Japan, the UK, and Boston.

You will be expected to lead or co-lead the following activities:

• Development of calibration and compilation approaches and pipelines towards arbitrary programmability of the machines by
• Collaborating with customers and application developers on pilot projects to showcase and benchmark QuEra’s

machines.

You will be expected to support the following activities:

• Bring-up of the first Gemini machine in AIST, Tsukuba, Japan (requiring some travel to Japan).
• Integration and testing of the quantum computing service
• Product launches related to QuEra’s quantum computing services for cloud and on-
• System performance
• System operations, including incident

Qualifications:

• A Ph.D. in experimental AMO physics or related field, with hands-on experience in building or operating a neutral atom or a trapped ion system, or another quantum hardware platform or Practical experience with actual gate-based quantum computers is a major asset.
• Success in research, as evidenced by peer-reviewed publications and/or scientific talks and other
• Strong communication skills and strong interest in working with a variety of customers and end users to understand their needs and translate them into product.
• Software skills, including programming languages and a basic understanding of software
• Experience in mentoring or training scientists or
• Ability to provide on-call support for machine and service
• Ability to periodically travel to machine locations.

Salary Range: 145,000 - 175,000. We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

Key Responsibilities:

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
• Independently lead small research projects while collaborating with team members on larger initiatives
• Design, run, and analyze scientific experiments to advance our understanding of large language models
• Optimize and scale our training infrastructure to improve efficiency and reliability
• Develop and improve dev tooling to enhance team productivity
• Contribute to the entire stack, from low-level optimizations to high-level model design

Qualifications:

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
• Strong software engineering skills with a proven track record of building complex systems
• Expertise in Python and experience with deep learning frameworks (PyTorch preferred)
• Familiarity with large-scale machine learning, particularly in the context of language models
• Ability to balance research goals with practical engineering constraints
• Strong problem-solving skills and a results-oriented mindset
• Excellent communication skills and ability to work in a collaborative environment
• Care about the societal impacts of your work

Preferred Experience:

• Work on high-performance, large-scale ML systems
• Familiarity with GPUs, Kubernetes, and OS internals
• Experience with language modeling using transformer architectures
• Knowledge of reinforcement learning techniques
• Background in large-scale ETL processes

You'll thrive in this role if you:

• Have significant software engineering experience
• Are results-oriented with a bias towards flexibility and impact
• Willingly take on tasks outside your job description to support the team
• Enjoy pair programming and collaborative work
• Are eager to learn more about machine learning research
• Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects
• Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research
• View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights
• Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.

Sample Projects:

• Optimizing the throughput of novel attention mechanisms
• Comparing compute efficiency of different Transformer variants
• Preparing large-scale datasets for efficient model consumption
• Scaling distributed training jobs to thousands of GPUs
• Designing fault tolerance strategies for our training infrastructure
• Creating interactive visualizations of model internals, such as attention patterns

At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.

If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!

Summary

QuEra is seeking a deeply technical and theoretically grounded algorithms researcher to help advance the frontier of quantum computing. This role focuses on developing novel algorithms and quantum computational techniques inspired by and tailored to the capabilities of neutral-atom quantum devices.

A strong candidate will bring deep expertise in quantum algorithm design and quantum information theory. As part of your role, you will lead research efforts that explore the boundaries of quantum advantage, investigate computational hardness and resource tradeoffs, and prototype algorithms that could run on QuEra's hardware. You will also collaborate closely with hardware and software teams to guide the co-design of algorithms and architectures, and shape the roadmap for algorithmic utility on neutral-atom systems.

Key Responsibilities

• Conduct original research in quantum algorithms, quantum algorithm complexity, and quantum information theory.
• Design and analyze new quantum algorithms with demonstrable computational advantage.
• Explore and classify algorithmic primitives aligned with neutral-atom capabilities.
• Collaborate with the applications team to optimize performance under realistic architectural constraints.
• Evaluate the landscape of quantum algorithm benchmarks and influence the development path for practical quantum utility on QuEra’s platform.

Qualifications

• PhD in Computer Science, Physics, Mathematics, or a related discipline with specialization in quantum computing.
• Strong research record in quantum algorithms or quantum information theory, as evidenced by top-tier publications or equivalent contributions.
• Familiarity with core quantum algorithmic techniques (e.g., amplitude amplification, phase estimation, Hamiltonian simulation, and quantum arithmetic primitives).
• Deep understanding of quantum computational models and algorithmic complexity.
• Strong communication skills.

Preferred Qualifications

• Postdoctoral or industrial experience in quantum computing, especially in algorithm design.
• Experience in using software packages for fault-tolerant quantum algorithms research and quantum resource estimation (e.g. Qualtran).
• Strong software engineering skills.

The approximate base salary range for this position is $145,600 - $227,500.

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

#LI-NB1

Summary

QuEra Computing is seeking a mission-driven Quantum Scientist focused on designing and delivering specialized content for community engagement, customer training, and AI-enabled learning experiences. You’ll use your expertise in quantum information, machine learning, and modern AI systems to create learning pathways that bridge users to the latest outcomes in quantum computing research – particularly that by QuEra’s team – via our Bloqade software suite and our current and upcoming neutral-atom hardware.

In addition to building world-class educational content, you will help integrate AI agents, ML-driven analytics, and scalable infrastructure into our enablement ecosystem—enhancing user onboarding, experimentation workflows, and community engagement.

Deliverables include lessons, tutorials, notebooks, AI-assisted labs, hackathon challenges, interactive agents, and technical presentations tailored to users across academia, national labs, and industry.

Some travel may be required for workshops, conferences, and hackathons.

Responsibilities

• Design, author, and maintain structured, hands-on learning materials (courses, tutorials, notebooks, problem sets, quizzes, and challenge tracks) aligned with  neutral-atom quantum computing capabilities.
• Develop AI-enhanced learning tools, including intelligent tutoring workflows, agent-assisted coding labs, and automated feedback systems.
• Build and deploy lightweight ML or AI agent systems that support user onboarding, documentation navigation, experiment configuration, or workflow optimization.
• Produce clear, accurate technical presentations and demos for customers, partners, conferences, and hackathons; deliver live and online instruction.
• Closely collaborate with the applications research, product and solutions teams to ensure content reflects the latest algorithms, applications, APIs, and hardware constraints.
• Translate new R&D into learner pathways; define objectives and assessments; use learner data, ML-driven insights, and feedback to iterate and improve.
• Contribute to scalable infrastructure for educational environments (cloud-based notebooks, APIs, model endpoints, experiment orchestration systems).
• Drive customer/partner enablement and community programs (hackathons, forums, workshops) and expand documentation to lower adoption barriers.
• Explore and prototype AI agents that assist users in quantum program synthesis, parameter optimization, debugging, or workflow automation.

Qualifications

• Advanced experience in Physics, Computer Science, Electrical Engineering, Machine Learning, or a related field (PhD preferred; MSc/BSc with equivalent experience considered).
• Strong foundation in quantum information/science, spanning algorithmic building blocks, software tooling, data analysis, and hardware limitations.
• Experience using machine learning systems, AI agents, LLM-based tooling, or intelligent automation frameworks.
• Familiarity with modern ML/AI infrastructure (e.g., model APIs, vector databases, agent orchestration frameworks, cloud deployment, experiment tracking).
• Experience creating technical education materials or teaching (tutorials, workshops, developer content), with demonstrated interest in research-informed pedagogy.
• Excellent written and verbal communication skills; ability to explain complex topics to diverse technical audiences.
• Collaborative mindset and the discipline to independently deliver high-quality technical and educational artifacts.

Preferred Qualifications

• Experience with Bloqade or other QIS tooling for scientific computing.
• Familiarity with neutral-atom quantum computing platforms.
• Experience applying ML techniques and agents to scientific and quantum computing, particularly in the context of education.
• Experience building or deploying AI agents (e.g., retrieval-augmented systems, code assistants, orchestration frameworks).
• Experience with MLOps, infrastructure-as-code, containerization, or cloud-based notebook environments.
• Track record presenting at conferences, running hackathons, or building developer communities.
• Comfort using data analytics and ML methods to evaluate learning outcomes and improve curricula.

The approximate base salary range for this position is $130,400 - $211,900.

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

#LI-NB1

About Formlabs:

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.

The Job

• Build world-class SLS materials for 3D printing from initial lab explorations to validation and commercialization
• Lead research that pushes the boundaries of SLS material performance, turning discoveries into next-gen solutions.
• Partner with product, hardware, and software teams to iterate and improve material performance based on customer feedback
• Develop methodologies to evaluate material formulations in coordination with SLS print systems —balancing material chemistry, thermal dynamics, and printing parameters

You

• Experience bringing a new material to market from ideation to production
• Have a solid understanding of the fundamentals of materials science and polymer product development
• Hands-on experience in thermo-plastic engineering
• Passionate about testing and troubleshooting, not afraid to test hundreds of times
• Love to harness data; can design and conduct rigorous experiments to optimize materials
• Can work autonomously and take initiative to learn new skills to complete an objective
• Understand the value of good documentation
• B.S., M.S., or PhD in a relevant science or engineering field (all are welcome)

Bonus skills:

• Experience developing materials for 3D printing, especially for SLA/DLP or SLS printers!
• 3D CAD modeling
• Programming skills (Python, Matlab, SQL, etc)

Our Perks & Benefits:

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• 401K matching and access to financial advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

About Formlabs:

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.

The Job

• Build world-class SLS materials for 3D printing from initial lab explorations to validation and commercialization
• Lead research that pushes the boundaries of SLS material performance, turning discoveries into next-gen solutions.
• Partner with product, hardware, and software teams to iterate and improve material performance based on customer feedback
• Develop methodologies to evaluate material formulations in coordination with SLS print systems —balancing material chemistry, thermal dynamics, and printing parameters

You

• Experience bringing a new material to market from ideation to production
• Have a solid understanding of the fundamentals of materials science and polymer product development
• Hands-on experience in thermo-plastic engineering
• Passionate about testing and troubleshooting, not afraid to test hundreds of times
• Love to harness data; can design and conduct rigorous experiments to optimize materials
• Can work autonomously and take initiative to learn new skills to complete an objective
• Understand the value of good documentation
• B.S., M.S., or PhD in a relevant science or engineering field (all are welcome)

Bonus skills:

• Experience developing materials for 3D printing, especially for SLA/DLP or SLS printers!
• 3D CAD modeling
• Programming skills (Python, Matlab, SQL, etc)

Our Perks & Benefits:

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• 401K matching and access to financial advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company.  We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.  

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

Kernal Bio is a venture-backed therapeutics company engineering cells inside the body using AI-designed, selective mRNA and targeted LNP technology. By developing in vivo CAR-T therapies, Kernal Bio is advancing precision treatments for autoimmune diseases and blood cancers. The company was founded by experts from MIT, Harvard, Merck, and BMS, and its leadership team brings a track record of three FDA-approved therapies and over 120 patents. With support from leading investors, including Hummingbird Ventures, Amgen Ventures, Y Combinator, and HBM. Kernal Bio is transforming the future of cell therapy design and delivery.

Job Summary  
Kernal seeks a highly motivated principal scientist for antibody development and production.  The successful candidate will partner with external collaborators (e.g., CROs, CDMOs) to lead the design, development, and production of novel antibodies for targeted LNP applications.  This successful candidate will also be responsible for establishing internal antibody production and analytical capabilities to support preclinical research as well as external development activities.   

Responsibilities: 

• Lead antibody development, production, and scale-up for preclinical research activities as well as GMP manufacturing.  Responsible for reviewing and approving critical documentation (e.g., protocols, process development batch records, analytical methods, specifications, etc)
• Establish internal capabilities for the development, production, and analysis of antibody supplies to accelerate and troubleshoot external development activities and provide materials for preclinical research.   
• Review, supervise, and/or execute experiments to optimize cell culture, harvest, and downstream purification.   
• Author tech transfer documentation (e.g., process descriptions, bill of materials, draft specifications, analytical methods) based on both external collaborator activities and internal development activities.   
• Maintain thorough and detailed electronic laboratory notebooks
• Analyze, interpret, and summarize experimental data
• Communicate results to team and management in technical reports and oral presentations 

Requirements: 

• Degree in Chemical/Biomedical Engineering, Pharmaceutical Sciences, Biochemistry, Analytical Chemistry or a similar field. (PhD is preferred)  
• PhD with 5 years of industry experience, M.S (or equivalent) with 7 years of experience, B.S (or equivalent) with 10 years of experience, 
• Experience with the development and/or production of recombinant proteins, monoclonal antibodies, and/or antibody fragments.  Experience with difficult-to-produce proteins/protein fragments (e.g., low titer or low solubility) preferred.   
• Experience in mammalian cell culture and transfection.  Experience with harvest and purification technologies (e.g., normal flow filtration, tangential flow filtration, chromatography, virus filtration).
• Experience using Design of Experiments (DOE) to optimize cell culture yields/titers and/or performance of downstream purification.
• Familiar with analytical methods commonly used for antibody assays (e.g., SEC, WB, ELISA, SDS-PAGE, etc)
• Strong molecular biology skills
• Experience with plasmid vector design and codon engineering (nice to have).  
• Ability to analyze, summarize, and communicate scientific data
• Attention to detail, ability to multitask, and troubleshoot
• Strong written and verbal communication skills
• Excellent record-keeping and data management skills
• Experience working in fast-paced startup environments
• Ability to work independently while effectively interacting and collaborating in a team environment
• Adaptability and enthusiasm for new challenges, innate curiosity, and a passion for learning 

Benefits: 

• Competitive 401(k)   
• Highly competitive healthcare coverage (PPO/HMO)
• Free parking, a monthly subway pass, or a subsidized commuter rail pass  
• Free Bluebike Membership
• Gym Membership Support   
• Flexible Spending Account 
• Paid parental leave, family caregiver leave, and medical leave  
• Paid life insurance coverage 
• On-site cafeteria  
• Competitive vacation and sick days per year 

Kernal is dedicated to providing a diverse work environment and is committed to equal employment opportunities for all its employees and qualified applicants. We do not discriminate in employment practices for reasons of race, color, national origin, age, gender, sexual orientation, marital or veteran status, religion, disability, or any other legally protected status. Kernal will make reasonable accommodations for qualified individuals with known disabilities in accordance with applicable law. 

Click Here to Apply: https://www.kernalbio.com/careers 

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.

Materials development presents one of the greatest opportunities to innovate in 3D printing, unlocking new applications in different industries such as engineering, consumer, manufacturing, automotive and healthcare. Our materials science team works closely with product management, hardware and software teams to develop new materials that push the boundaries of what can be done with 3D printing.

If you are a scientist or engineer with experience in polymer development who’s excited to break new ground in an industry that’s moving at lightning speed, we want you as a Materials Scientist.

The Job:

• Conduct research and develop world-class materials for 3D printing from initial lab explorations to validation and commercialization
• Collaborate with hardware and software engineers to ensure new and existing materials print on our hardware seamlessly and reliably
• Design and perform experiments, and use the results to inform and develop materials performance improvements
• Partner with product management, hardware, and software engineers to continuously improve our materials

You:

• A creative and resourceful problem-solver, balancing speed and scientific rigor in a dynamic environment
• Have solid understanding of the fundamentals of materials science and polymer development
• Passionate about testing and troubleshooting, not afraid to test hundreds of times
• Love to harness data; can design and conduct rigorous experiments to optimize materials
• Can work autonomously and take initiative to learn new skills to complete an objective
• Understand the value of good documentation
• Excited to collaborate with a diverse group of scientists and engineers
• B.S., M.S., or PhD in a relevant science or engineering field (all are welcome)

Bonus Skills:

• Experience developing materials for 3D printing, especially for SLA/DLP or SLS printers!
• 3D CAD modeling
• Programming skills (Python, Matlab, SQL, etc)

Our Perks:

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• 401K matching and access to financial advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

Do you want to change how the world creates?

At Formlabs, we’re building the tools that make it possible for anyone to bring their ideas to life, from cutting-edge products to life-saving medical devices. Our 3D printing technology powers innovation at more than 50,000 industry leaders worldwide, including Apple, Google, Tesla, New Balance, and NASA. Together, we’re helping everyone design, prototype, and manufacture faster than ever before.

We’re a team of hands-on builders, engineers, and innovators reinventing how the world makes physical things. If you’re ready to shape the future of fabrication, come build it with us.

Materials development presents one of the greatest opportunities to innovate in 3D printing, unlocking new applications in different industries such as engineering, consumer, manufacturing, automotive and healthcare. Our materials science team works closely with product management, hardware and software teams to develop new materials that push the boundaries of what can be done with 3D printing.

If you are a scientist or engineer with experience in polymer development who’s excited to break new ground in an industry that’s moving at lightning speed, we want you as a Materials Scientist.

The Job:

• Conduct research and develop world-class materials for 3D printing from initial lab explorations to validation and commercialization
• Collaborate with hardware and software engineers to ensure new and existing materials print on our hardware seamlessly and reliably
• Design and perform experiments, and use the results to inform and develop materials performance improvements
• Partner with product management, hardware, and software engineers to continuously improve our materials

You:

• A creative and resourceful problem-solver, balancing speed and scientific rigor in a dynamic environment
• Have solid understanding of the fundamentals of materials science and polymer development
• Passionate about testing and troubleshooting, not afraid to test hundreds of times
• Love to harness data; can design and conduct rigorous experiments to optimize materials
• Can work autonomously and take initiative to learn new skills to complete an objective
• Understand the value of good documentation
• Excited to collaborate with a diverse group of scientists and engineers
• B.S., M.S., or PhD in a relevant science or engineering field (all are welcome)

Bonus Skills:

• Experience developing materials for 3D printing, especially for SLA/DLP or SLS printers!
• 3D CAD modeling
• Programming skills (Python, Matlab, SQL, etc)

Our Perks:

• Robust equity program to build future wealth through RSUs
• Comprehensive healthcare coverage (Medical, Dental, Vision)
• 401K matching and access to financial advisors
• Generous paid Parental Leave (up to 16 weeks)
• Tenure-based paid Sabbatical Leave (up to 6 weeks)
• Flexible Out of Office Plan – Take time when you need it
• Ample on-site parking & pre-tax commuter benefits
• Healthy on-site lunches, snacks, beverages, & treats
• Regular sponsored professional development opportunities
• Many opt-in culture events across our diverse community
• And of course… unlimited 3D prints

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Even if you don't check every box, but see yourself contributing, please apply. Help us build an inclusive community that will change the face of 3D printing.

Here at Ginkgo, we are aiming to modernize ADME by bringing our experience in high-throughput screening to the in vitro small molecule drug pipeline. We are re-imagining ADME at scale, and we are seeking a visionary and technically adept High-Throughput ADME Scientist to help us build and execute this next-generation platform. This role is critical in accelerating our drug discovery pipeline by providing timely and high-quality in vitro ADME (Absorption, Distribution, Metabolism, and Excretion) data to guide lead optimization.

The ideal candidate will possess deep technical expertise in developing, validating, and implementing a variety of high-throughput ADME assays.

Key Responsibilities

Assay Development & Implementation

• Design, develop, optimize, and validate a wide array of high-throughput in vitro ADME assays (e.g., solubility, MDCK permeability, plasma protein binding, microsomal stability, hepatocyte stability, and CYP inhibition/induction).
• Automation and Screening: Experience working with automated liquid handlers such as Hamilton, Lynx, Bravo, and Formulatrix.

Data Analysis & Reporting

• Develop and perform mass spectrometry (LC-MS/MS, acoustic ejection mass spectrometry, or similar) analysis of samples from ADME assays. Responsibilities will include method development and troubleshooting.
• Ensure proper sample preparation and management for high-throughput analysis.
• Analyze, interpret, and report complex ADME data, including calculating key pharmacokinetic parameters.
• Present results and provide expert recommendations to medicinal chemists and project teams to inform go/no-go decisions.

Quality & Compliance

• Maintain detailed and accurate laboratory records, SOPs, and electronic notebooks.
• Ensure all laboratory activities comply with internal quality standards and safety regulations.

Minimum Qualifications

• Education: Ph.D. in Pharmaceutical Sciences, Pharmacology, Analytical Chemistry, or a related field with 2+ years of relevant industry experience, or a Master's degree with 5+ years of industry experience.
• Technical Expertise:
  • Extensive, hands-on experience with LC-MS or acoustic MS particularly in a high-throughput setting.
  • Proven track record in developing and running automated in vitro ADME assays using state-of-the-art laboratory automation.
  • Strong theoretical and practical knowledge of drug metabolism pathways and DMPK.
  • Familiarity with common ADME prediction software and data visualization tools.

 Preferred Skills

• Experience using lab automation.
• Programmatic coding experience (e.g., Python, R, or similar).
• Data visualization (Spotfire, Python, R, or similar).
• Experience handling clinical samples.
• Familiarity with working in a CRO (Contract Research Organization) environment or managing CRO relationships.
• Proficiency with electronic laboratory data capture systems (e.g., LIMS, ELN).

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world’s energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. 

 To learn more about us, please visit: www.ses.ai 

What We Offer: 

• A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. 

• The opportunity to contribute directly to a meaningful scientific project—accelerating the global energy transition—with a clear and broad public impact. 

• Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. 

• Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. 

• Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. 

What we Need: 

The SES AI Hermes team is seeking an exceptional Battery Electrolyte Scientist & Materials Chemistry Leader to serve as an R&D leader specializing in electrolyte development and interfacial chemistry. This role is critical for producing experimentally validated battery component data, guiding AI model training, and defining the materials innovation roadmap for next-generation energy storage systems. As an Electrolyte Scientist and R&D Leader, you will direct key experimental programs and manage the strategic interface between chemistry and AI. 

Essential Duties and Responsibilities: 

• R&D Program Leadership 

• Direct complex electrolyte R&D programs focused on next-generation battery systems, ensuring alignment with customer and product requirements (e.g., safety, cyclability, low/high temperature performance). 

• Lead multi-R&D teams composed of chemists, data scientists, and engineers to achieve key innovation milestones. 

• Define the materials innovation roadmap, particularly related to electrolyte formulation and interfacial science. 
   

• Experimental Validation & Data Generation 

• Oversee SEI (Solid Electrolyte Interphase) engineering and additive optimization programs, leveraging expertise in fundamental materials chemistry. 

• Lead cell-level validation and the integration of new electrolytes into prototype cells. 

• Produce high-quality, experimentally validated battery component data, guiding AI model training by ensuring data quality, experimental reproducibility, and comprehensive parameter space coverage (Data-driven experimentation). 
   

• AI Integration & Tools 

• Utilize molecular informatic tools to accelerate battery component optimization cycles, effectively bridging experimental data with AI-generated candidates. 
   

Education and/or Experience: 

• Education: Ph.D. in Materials Science and Engineering, Chemical Engineering, Electrochemistry, or a closely related materials chemistry field. 

• R&D Leadership: Proven background as an electrochemical researcher and R&D leader experienced in directing technical programs and managing multi-disciplinary research teams. 

• Core Chemistry Expertise: Deep expertise in fundamental materials chemistry, interfacial science, additive optimization, and Solid-Electrolyte Interphase (SEI) engineering. 

• Validation Experience: Extensive experience in cell-level validation and advanced characterization techniques, demonstrating an ability to integrate new materials into prototype cells. 

• Data Focus: Demonstrated experience in data-driven experimentation and structuring chemistry data for AI model consumption. 
   

Preferred Qualifications: 

• Industry Focus: Previous experience at leading battery manufacturers, electrolyte R&D teams, or applied materials chemistry labs, especially those focused on next-generation battery and energy storage systems. 

• Program Alignment: Strong track record of successfully aligning R&D execution with clear customer and product requirements. 

• Informatics Tooling: Ability to use or integrate results from molecular informatic tools for component optimization. 

About Us:

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world’s energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones.

To learn more about us, please visit: www.ses.ai

What We Offer:

• A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company.
• The opportunity to contribute directly to a meaningful scientific project—accelerating the global energy transition—with a clear and broad public impact.
• Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology.
• Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering.
• Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions.

What we Need:

The SES AI Department is seeking an Electrolyte Scientist to join our team dedicated to mobile energy storage. This scientist will be responsible for creating innovative electrolyte materials and systems that enable safe, long-lasting, and high-energy-density lithium-ion batteries. Key duties include designing, developing, and optimizing electrolyte formulations, as well as meticulously analyzing their interactions with other cell components during battery cycling and storage. The ideal candidate is a passionate, highly detail-oriented, and collaborative team player who thrives in a fast-paced environment and shares a vision for advancing energy storage technology.

Essential Duties and Responsibilities:

• Formulation and Materials Design
  • Design and develop electrolyte formulations compatible with high energy density lithium-ion anodes and high nickel content NMC cathode cell chemistries to achieve a long cycle life safely.
  • Design electrolyte systems to demonstrate improvements in safety performance, including dimensional stability during battery cycling and storage.
  • Provide technical assessment on existing electrolyte systems, additives, and lithium salts in high energy, high-capacity rechargeable lithium-ion cells.
    
    
• Electrochemical Characterization and Analysis
  • Fully characterize coin and pouch cell performance using new materials and formulations.
  • Utilize electrochemical testing and analytical techniques to understand reaction mechanisms, failure modes, and potential benefits of new formulations.
  • Demonstrate the ability to use fundamental physical chemistry concepts and experimental techniques to provide promising electrolyte formulation strategies.
    
    
• Project Management, Communication, and Leadership
  • Ability to independently plan, execute, manage, and communicate progress on projects.
  • Support product development as required for the prototype-manufacturing team.
  • Process Optimization: Design and implement streamlined testing metrics (e.g., Design of Experiments - DoE) to significantly shorten the R&D learning and development cycle.
  • Communication & Insight: Effectively communicate new concepts, findings, and project updates to the team, drawing actionable insights from discussions.
  • Technical Leadership: Serve as a technical mentor and leader to junior staff, guiding experimental design and professional development.
  • Knowledge Integration: Actively integrate and synthesize existing in-house knowledge with new discoveries to accelerate development and problem-solving.
  • IP Development: Proactively contribute to the company's intellectual property portfolio through invention disclosures and patent applications.
    
    

Education and/or Experience:

• Scientific Knowledge: MS (or better) level of understanding in Electrochemistry, Materials Science, Chemical Engineering, or a related physical science field.
• Experience with developing semi-solid electrolytes (e.g. in-situ gel polymer electrolyte, polymer electrolyte, hybrid solid/liquid electrolyte) are highly preferred. 
• Experience Level: Minimum of 3+ years of industrial or advanced academic experience (post-MS) focused on electrolyte or battery materials development.
• Chemistry Foundation: Strong knowledge of common lithium-ion electrolyte systems, including common lithium salts, solvents, and additives, and their specific roles.
• Physicochemical Understanding: Experience applying physical-chemical methods to tackle formulation problems and understanding properties like density, viscosity, and ionic conductivity.
• Electrochemical Techniques: Hands-on expertise in advanced electrochemical characterization, including Electrochemical Impedance Spectroscopy (EIS) and galvanostatic cycling.
• High-Purity Handling: Proven experience working with moisture sensitive materials in a glovebox or dry room environment, and expertise in handling high purity chemicals.
• Data Proficiency: Proficiency in battery cell tests (coin/pouch) and scientific data analysis (e.g., using statistical or scientific software).
• Industry Knowledge: Proven ability to onboard and integrate existing in-house knowledge with new discoveries and challenges.
  
  

Preferred Qualifications:

• Advanced Degree: Doctorate (Ph.D.) in Chemistry, Chemical Engineering, or a related field, with 3+ years of post-PhD industrial experience.
• Diverse Formulation: Experience in formulation development beyond liquid electrolytes, including exposure to polymer electrolytes, ionic liquids, and/or solid-state electrolytes.
• Large Format Experience: Direct experience working with and characterizing large format cells (e.g., prismatic or cylindrical).
• Software/Modeling: Experience with computational chemistry or battery modeling tools.
• Industry Alignment: Demonstrated passion for and experience in the mobile energy or automotive space.

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world’s energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. 

 To learn more about us, please visit: www.ses.ai 

What We Offer: 

• A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. 

• The opportunity to contribute directly to a meaningful scientific project—accelerating the global energy transition—with a clear and broad public impact. 

• Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. 

• Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. 

• Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. 

What we Need: 

The SES AI Prometheus team is seeking an exceptional Computational Materials Scientist to combine physics-based simulation (DFT, MD, quantum modeling) with AI-assisted material prediction to generate high-quality training data and accelerate materials discovery. This role is crucial for advancing our understanding of electrochemical energy materials at the atomic level. As a Computational Materials Scientist, you will be a core data-driven modeler responsible for executing and automating complex simulations. 

Essential Duties and Responsibilities: 

• Atomistic Modeling & Simulation 

• Conduct and oversee DFT (Density Functional Theory), MD (Molecular Dynamics), and QM (Quantum Mechanics) simulations of battery components, including electrolytes, coatings, and electrodes. 

• Develop and refine ML-enhanced force fields and surrogate models to accelerate simulation time scales and enable multi-scale simulation efforts. 

• Apply expertise in atomistic simulation and quantum modeling to solve key challenges in electrochemical energy materials (e.g., batteries/fuel cells). 
   

• AI Data Generation & Prediction 

• Generate high-quality, structured simulation data to serve as training sets for AI property prediction models and material screening modules. 

• Contribute to the development of battery domain LLM features and advanced property-prediction models. 

• Automate complex simulation workflows using strong coding practices to enhance efficiency and scalability. 
   

• Collaboration & Tooling 

• Collaborate with experimental teams, leveraging a hybrid computational + experimental literacy to validate models and drive design iteration. 

• Utilize advanced simulation tools (VASP, Quantum Espresso) and data science libraries (TensorFlow, Pandas) to manage and analyze large datasets. 
   

Education and/or Experience: 

• Education: Ph.D. in Mechanical Engineering, Materials Science, Chemical Engineering, or a closely related computational/physics field. 

• Core Simulation Expertise: Deep and extensive experience in atomistic simulation and quantum modeling, including proficiency with key QM/DFT tools (VASP, Quantum Espresso) and MD simulations. 

• Domain Focus: Strong background in electrochemical energy materials and extensive computational work focused on batteries/fuel cells. 

• Coding Proficiency: Strong coding skills in Python (along with related libraries like Pandas and TensorFlow) for simulation workflow automation and data analysis. 

• ML Application: Experience in developing or utilizing ML-enhanced force fields and surrogate models for materials prediction., or equivalent practical experience. 

Preferred Qualifications: 

• LLM Development: Experience in developing battery domain LLM features or property-prediction models. 

• Hybrid Skillset: Demonstrated experience working in a hybrid computational + experimental environment. 

• Tooling Diversity: Familiarity with additional data analysis tools like R, SQL, MATLAB, and time-series forecasting libraries like Prophet. 

• Target Background: Previous experience at national laboratories, XtalPi, Entalpic, or deep battery modeling groups. 

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world’s energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. 

 To learn more about us, please visit: www.ses.ai 

What We Offer: 

• A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. 

• The opportunity to contribute directly to a meaningful scientific project—accelerating the global energy transition—with a clear and broad public impact. 

• Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. 

• Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. 

• Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. 

What we Need: 

The SES AI Hermes team is seeking an exceptional Battery Manufacturing & Operations Leader to lead pilot-scale cell manufacturing, drive prototype execution, and oversee process optimization. This critical leadership role ties R&D innovation to manufacturable products by managing technical customer programs and bridging critical gaps between design concepts and commercial readiness. As a key Leader in Battery Manufacturing and Operations, you will manage the transition of next-generation battery technology from the lab to scaled production. 

Essential Duties and Responsibilities: 

• Manufacturing & Operations Leadership 

• Lead and manage all aspects of pilot-scale cell manufacturing and prototype execution, focusing on various cell designs (pouch, EV, ESS). 

• Drive the establishment of pilot lines, define SOPs (Standard Operating Procedures), and lead QA/QC processes for production scheduling and test data management. 

• Oversee the entire technology scale-up process, ensuring that R&D next-generation battery concepts are ready for mass production. 
   

• Product & Customer Program Management 

• Serve as the Product Execution Director for technical customer programs, managing the process to deliver validated battery components and systems. 

• Drive the NPI (New Product Introduction) process and utilize quality assurance methodologies like DFMEA (Design Failure Mode and Effects Analysis) and DVP&R (Design Verification Plan and Report). 

• Develop and maintain extended relationships within OEM organizations, including technology specification teams and purchasing, by identifying their product/application and service needs. 
   

• Cross-Functional Strategy 

• Provide cross-functional leadership, effectively bridging the technical gaps between R&D, Manufacturing, and Quality organizations. 
   

Education and/or Experience: 

• Education: Ph.D. in Materials Science and Engineering, Chemical Engineering, or a closely related field. 

• Leadership Experience: Deep experience at a senior level in pilot-scale cell manufacturing, prototype development, or technical operations management, taking the lead on new projects globally. 

• Battery Domain: Core expertise in Lithium-ion, Solid-state, and Li-metal battery chemistry and the manufacturing processes associated with them. 

• Process Acumen: Expertise in NPI processes, process optimization, and hands-on experience in SOP definition, scale-up, and quality control. 

• OEM Engagement: Direct experience managing technical customer program management and setting technical roadmaps with external clients. 

Preferred Qualifications: 

• Profile Match: A background profile as a Material Scientist who transitioned into a high-level Operations and Product Execution Director role. 

• Industry Background: Previous experience working within an Automobile OEM or a leading EV battery manufacturer. 

• Quality Systems: Advanced proficiency in using DFMEA/DVP&R methodologies in a high-tech manufacturing environment. 

Company Overview:

Strand Therapeutics is a clinical stage biotechnology company utilizing synthetic biology to genetically program mRNA to deliver truly revolutionary immunotherapies to patients.

Building on the idea of creating smart therapies based on Boolean logic circuits, Strand was started by biological engineers working together at MIT who were seeking to apply the concept of the emerging field of mRNA therapeutics. Strand's technology is therapeutic-area and mRNA modality agnostic where therapeutic proteins are encoded onto modified, self-replicating, or circular mRNA backbones which in turn are programmed with cell-specific sensors and circuits.

Today, Strand has established three platforms with one clinical stage asset and several programs in preclinical development as well as early discovery. Our lead program, STX-001, is currently being evaluated in a phase 1 clinical trial for solid tumors. Our corporate headquarters is located in the Fenway district of Boston, Massachusetts.

Become the next standout single strand!

Job Summary:

Strand is looking for people who have the enthusiasm and motivation to be a highly contributing member of a small but extremely productive team. This opportunity will offer the employee the ability to work in a matrix-based environment and be a part of the future strategy of the company.

We are looking for a highly motivated and innovative candidate for the role of Associate Scientist II / Senior Associate Scientist of Nanoparticle Process Development. This individual will support in production and scale up of LNPs with nucleic acid payload. Reporting to the Principal Scientist of Nanoparticle Process Development, the right candidate will be a strategic thinker that brings a leadership presence and enthusiasm for Strand along with deep scientific knowledge.

Primary Responsibilities:

• Execute experiments related to LNP mixing and downstream purification/filtration to improve the process.
• Contribute to development of a robust formulation process with emphasis on scale-up, tech-transfer and stability.
• Contribute to thorough characterization of LNPs by existing methods and collaborating with internal stakeholders on developing new methods.
• Coordination with other team members to support the group's research activities in a fast-paced and collaborative environment.

Qualifications:

• B.S. with at least 2-5+ years of relevant experience or M.S. with at least 1-3+ year of relevant experience with an educational focus in Chemical Engineering, Bioengineering or similar preferred.
• Experience with LNPs required and nucleic acid payloads required.
• Experience with TFF required with emphasis on LNPs highly preferred for Associate Scientist II level, required for Senior Associate Scientist level.
• Experience with QbD principles, scale up efforts and JMP DOE is a plus.
• Experience with various mixing geometries as well large scale LNP production preferred for Associate Scientist II level, required for Senior Associate Scientist level.
• Strong collaboration and inter-personal skills.
• Ability to multi-task and prioritize to meet important deadlines.

Strand offers a fast-paced, entrepreneurial, team-focused small company environment. We also offer a top-notch benefits package (health, dental, life, open PTO, onsite lunch catering, commuter support and more) and work/life flexibility and integration. Being part of the Strand team allows you to become part of a small team that supports professional development while working together to meet Strand’s goals. 

Strand Therapeutics is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability, protected veteran status or any other basis protected by applicable law. Strand does not accept unsolicited resumes from any source other than directly from candidates.

Job Type: Full-time

Salary: $84,000 - $100,000 annually plus bonus and equity incentives

As an AI Research Scientist III at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods, and contributing to our active drug design campaigns by applying 1910’s productionized AI/ML models. 

Role Description 

• Propose and prototype AI and Machine Learning solutions that address use cases in 1910’s design pipeline  

• Independently apply productized AI and Machine Learning models to advance 1910’s active drug design campaigns  

• Independently write and publish peer reviewed scientific articles  and mentor junior AI Researchers with their work  

• Periodically presenting recent AI research at internal journal clubs  

• Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions  

• Keep up-to-date on cutting-edge research in the AI for drug discovery space  

• Manage junior AI Research Scientists including having weekly 1:1s, and regular performance reviews  

Qualifications 

• PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) 

• 3+ years of relevant industry experience (AI, Drug Discovery, etc.) 

• A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.)  

• Industry experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.)  

• Wet lab validation of at least 2 AI-driven drug discovery initiatives 

• Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories 

• Familiarity with MLOps and DevOps best practices  

• Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.)  

• Strong track record of publications of individual research in top-tier AI journals and conferences   

• Ability to demonstrate business value related to developed AI and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts 

• Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs 

• Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials 

Nice to Haves 

• Past experience managing junior AI Research Scientists  

#LI-Onsite

As an AI Research Scientist I at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods, and contributing to our active drug design campaigns by applying 1910’s productionized AI/ML models.  

Role Description 

• Propose and prototype AI and Machine Learning solutions that address use cases in 1910’s design pipeline  

• Apply productized AI and Machine Learning models to advance 1910’s active drug design campaigns with the support of senior members of the AI Research Team  

• Write and publish peer reviewed scientific articles with the support of senior members of the AI Research Team 

• Periodically presenting recent AI research at internal journal clubs  

• Learn how a molecule processes through the drug discovery process 

• Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions  

• Keep up-to-date on cutting-edge research in the AI for drug discovery space  

Qualifications 

• PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) 

• A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.)  

• Experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.)  

• Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories. 

• Familiarity with MLOps and DevOps best practices  

• Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.)  

• Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs 

• Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials 

Nice to Haves 

• An understanding of how a molecule progresses through the drug discovery process 

• Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) 

#LI-Onsite

As an AI Research Scientist II at 1910 you will be expected to roll up your sleeves as an Individual Contributor (IC) by keeping up with relevant scientific literature, prototyping promising methods, and contributing to our active drug design campaigns by applying 1910’s productionized AI/ML models. 

Role Description 

• Propose and prototype AI and Machine Learning solutions that address use cases in 1910’s design pipeline  

• Apply productized AI and Machine Learning models to advance 1910’s active drug design campaigns with minimal support from senior members of the AI Research Team 

• Write and publish peer reviewed scientific articles with minimal support from senior members of the AI Research Team 

• Periodically presenting recent AI research at internal journal clubs  

• Work cross-functionally with scientific colleagues, being a subject matter expert in how AI and Machine Learning can be used to answer cheminformatics and bioinformatics questions  

• Keep up-to-date on cutting-edge research in the AI for drug discovery space  

Qualifications 

• PhD in a relevant discipline (Computer Science, Biology, Chemistry, etc.) 

• 2 years of relevant industry experience (AI, Drug Discovery, etc.) 

• A strong understanding of statistics and classical machine learning methods (SVM, RF, etc.)  

• Industry experience training and deploying cutting edge deep learning methods (Transformers, Graph Neural Networks, etc.)  

• Wet lab validation of at least 1 AI-driven drug discovery initiatives 

• Demonstrated experience writing clean, maintainable, production-quality Python code, with examples available in code repositories 

• Familiarity with MLOps and DevOps best practices  

• Exposure to distributed computing (Microsoft Azure, HPC Cluster, etc.)  

• Strong track record of publications of individual research in top-tier AI journals and conferences   

• Ability to demonstrate business value related to developed AI and Machine Learning solutions in biology and medicinal chemistry related to your modeling efforts 

• Ability to work effectively in a fast-paced startup environment with evolving projects and shifting priorities driven by business needs 

• Excellent written and verbal communication skills, including the ability to create clear documentation for roadmaps, proposals, and related materials 

#LI-Onsite

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

We’re seeking outstanding hires to join our team as early members. This is an opportunity to contribute to a high-impact, collaborative, mission-driven team, and help define the next stage of growth for Layer Health. Together, we will create the AI layer that will redefine healthcare for the better.

Here’s a collection of articles about our product, mission, recent funding round, etc.

Job Description

We’re hiring an exceptional ML scientist. In this role, you will be responsible for pioneering innovative machine learning techniques to advance our fundamental clinical machine learning and large language model efforts.

You can expect to:

• Design and implement state-of-the-art machine learning techniques to advance Layer Health’s research agenda (in areas such as information extraction, multimodal reasoning, and summarization).
• Propose new agentic methods that tackle fundamental NLP and ML challenges such as modeling over multiple documents, long contexts, multiple modalities, and with limited or noisy labels  
• Build foundation models to power the future of clinical information extraction & synthesis, from training through inference. 
• Stay up-to-date and actively engage with cutting-edge research in NLP, generative AI, and clinical machine learning.
• Collaborate with the broader engineering team to ship performant products that meet user needs.
• Cultivate and foster a robust and thoughtful R&D culture that drives the company forward.

We look for:

• Exceptional methodological research background and experience, including but not limited to:
• A PhD in computer science/applied mathematics or equivalent research experience, specializing in natural language processing and machine learning.
• High-impact, early-author publications at top peer-reviewed ML journals/conferences.
• Demonstrated record of delivering real-world impact from start to finish– with the ability to design, develop, and ship innovations.
• Strong programming skills and fluency with modern machine learning/LLM stacks (deep learning libraries e.g. PyTorch, Jax).
• Past experience in training/inference of foundation models (billions of parameters, distributed training, familiarity with state-of-the-art techniques).
• A strong communicator who thrives in a customer-focused, fast-paced environment.
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. 
• Past experience in healthcare of life sciences is a plus, but not required.
• We are a Boston-based company, and expect employees to meet regularly in-person in Boston (employees from Boston, NYC, or east coast are welcome).

Expected compensation range for this role is $200,000-250,000, in addition to stock options. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. 

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Layer Health is committed to fostering an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.

Join us and help us transform healthcare with AI.

What we are looking for

We're seeking highly motivated and mission-driven individuals to join the Equilibrium Team. Though we may not have the exact opening that is right for you today, share your resume, contact information and a brief cover letter explaining what you're looking for in your next role. We'll reach out when new positions open up and connect you to relevant teams. 

In particular, we'd love to connect if you match any of our high-priority profiles: 

• Engineering- Software Engineer, Data Engineer, DevOps Engineer, ML Engineer
• Science- Data Scientist, Research Scientist, ML Scientist, Quantitative Analyst 
• Commercial- Energy Trader, Portfolio Manager, Energy Trading Analyst
• Product- Product Manager, Product Operations Manager, Technical Product Manager