Voyager is an innovative space, defense, and national security technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space. 

Forge the Future: Join Voyager Technologies 

The future belongs to those who build it. At Voyager Technologies, we’re building technologies that protect lives, expand frontiers and prepare us for what’s next. And we’re doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.  

You’ll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We’re a company of doers, thinkers and builders, united by purpose and grounded in reality. 

If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager. 

The Radiations Effects Scientist for our Products business line is responsible for supporting electronics and opto-electronics products and new designs across the Voyager enterprise.

The position reports to the VP of Product Design and is part of the Engineering department based in San Diego, CA. This role is fully onsite.

In this role, the essential functions are:

• Formulate and document radiation hardness requirements for space systems. Develop technical documents for requirements and verification.
• Provide subject matter expertise to support radiation testing, hardness assurance and error rate prediction for space systems.
• Build, lead, and maintain multi-disciplinary teams to execute radiation test campaigns.
• Participate in internal and customer design reviews.

If your experience aligns with our basic qualifications and you are inspired by our mission, we’d like to connect. If you don’t see the right role right now, Join Our Talent Community and stay connected as we continue to build what’s next. 

• Minimum: BS in Physics or electrical engineering with 4 years or more of relevant experience, MS or Ph.D. with relevant research or work experience.
• Solid understanding of radiation effects on electronic and optoelectronic parts.
• Direct working knowledge or demonstrated capacity to perform radiation effects testing of electronic parts.
• Hands-on experience with electrical test equipment

Preferred Qualification:

• Experience with satellite industry highly desirable

The good faith base salary range for this role is $165,000-$205,000 at the time of this posting. Where you fall within the range depends on your experience, skills, and location. This range reflects base salary only and does not include benefits or bonus/incentive. This range may be adjusted in the future.

Voyager offers a highly competitive total compensation package designed to support the well-being, growth, and success of our employees. Employees benefit from a flexible and comprehensive rewards program that supports both professional and personal well-being.  

• Flexible Time Off (FTO), empowering employees to take the time they need to recharge and maintain a healthy work-life balance
• Comprehensive medical, dental, and vision coverage for employees and their families, with a significant portion of premiums covered by the company and many benefits paid at 100% for employees
• Flexible, affordable gym memberships with 12,700+ options nationwide including 24 Hour Fitness, EoS Fitness, Crunch Fitness, Anytime Fitness, Blink Fitness, Chuze Fitness and more! No long-term contracts and FREE on-demand workout videos before you enroll
• 401(k) retirement plan with a 50% company match on contributions up to 8%, supporting long-term financial security
• Company wellness programs that support physical and mental well-being
• Additional voluntary benefits and employee support resources
• The opportunity to work alongside a highly talented team in an innovative, mission driven environment

Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.  

To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120–130) and the Export Administration Regulations (EAR) (15 CFR Parts 730–774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. § 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce.

Minority/Female/Disabled/Veteran 

The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice. 

About Tr1X

Tr1X is a private, clinical-stage biotechnology company focused on developing a novel class of regulatory T cell-based products to cure autoimmune and inflammatory diseases. Founded by industry experts, including the scientists who discovered Type 1 regulatory T (Tr1) cells, the company is developing a pipeline of off-the-shelf allogeneic cell therapies for autoimmune diseases with high unmet medical need. Our TRX cells are designed to mimic the function of naturally occurring Tr1 cells, which work to restore immune tolerance, stopping severe autoimmune and inflammatory disease in its tracks. Tr1X is the first company ever to use an allogeneic engineered Tr1 cell therapy in clinical trials. Tr1X is headquartered in San Diego, CA. For more information, please visit www.tr1x.bio.

Position Summary

The Senior Scientist, LNP Platform & Process Development (Scientist) is an experienced hands-on, lab-based, individual contributor that leads the design, development, and optimization of lipid nanoparticle (LNP) formulation and process development efforts supporting the Tr1X in vivo CAR-Treg platform. This individual plays a central role in developing and advancing the targeted lipid nanoparticle (tLNP) delivery systems from early research optimization through scalable, IND-enabling development.

This is a high-impact, foundational role within the company. The Scientist helps design and implement the LNP backbone of the platform and influence both short-term program execution and long-term manufacturability strategy. The Scientist brings deep hands-on expertise in LNP formulation and process development, strong analytical rigor, and the ability to thrive in a fast-paced startup environment.

Key Responsibilities

• Contribute to the design, development, and optimization of LNP formulations for mRNA delivery, including targeted LNP systems incorporating conjugated or functionalized lipids.
• Evaluate lipid composition, formulation parameters, and mixing conditions to optimize particle size, polydispersity, encapsulation efficiency, stability, release characteristics, and biological performance.
• Develop scalable, GMP-compatible manufacturing processes to support program advancement.
• Apply Quality by Design (QbD) principles and Design of Experiment (DoE) studies to study design and execution.
• Lead the development and optimization of analytical characterization methods (both in-house and at the external CDMO), including but not limited to DLS, fluorescence-based assays such as Ribogreen, HPLC/UPLC methods (CAD, UV, IP-RP, SEC, IEX), LC-MS, and endotoxin testing.
• Interpret analytical and stability data to establish meaningful correlations between physicochemical properties and biological function.
• Collaborate closely with platform biology teams to support in vitro and in vivo studies, prepare development reports and technical documentation, and contribute to technology transfer activities with external CDMO partners.
• Spearhead IND-enabling documentation and contribute to defining the long-term strategy for scalable LNP platform development.
• Perform other responsibilities as required based on business needs.

Required Qualifications & Experience

• Ph.D. in Chemical Engineering, Bioengineering, Pharmaceutical Sciences, Chemistry, or a related field with a minimum 4 years of relevant industry experience; or M.S. with 8+ years; or B.S. with 10+ years.
• Demonstrated in-depth expertise in LNP formulation and process development, including hands-on experience with microfluidic or scalable mixing technologies and downstream purification strategies such as TFF.
• Strong experience with analytical characterization of LNP systems and application of statistical design tools for process optimization.
• Highly organized, scientifically rigorous, and capable of independently driving projects while collaborating effectively in a multidisciplinary startup environment.
• Experience with mRNA therapeutics or nucleic acid delivery systems.
• Prior exposure to immunotherapy or cell therapy platforms preferred.
• Familiarity with regulatory expectations for CMC development and experience supporting technology transfer to external manufacturing partners preferred.
• Experience correlating formulation attributes with in vivo performance highly desirable.
  Ability to actively serve, collaborate, and develop relationships inside and outside the organization.
• Excellent written and oral communication skills.
• Strong analytical and problem-solving skills; great attention to detail and the ability to drive timely and fact-based decision making.
• Ability to function in a rapidly changing environment and handle multiple priorities.
• Demonstrated ability to partner, build trust, and cultivate positive working relationships with CDMOs.
• Experience with mRNA production and analytical quality control preferred.
• Effectively communicate changes and resolve issues with CDMOs.
• Lead and/or participate in cross functional development and manufacturing projects to ensure company objectives are met and exceeded.
• Ability to don and wear appropriate clean room attire and wear all required Personal Protective Equipment.

Other Requirements

• Legally authorized to work for any employer in the U.S.
• Position is on site in San Diego
• Travel may be required up to 10% of the time

The job responsibilities and requirements provided above are intended to describe the general nature of the work performed by individuals assigned to this job classification. It is not intended to be an exhaustive list of all duties and requirements. Tr1X retains the right to add, change, or delete duties, education, experience or any other requirements of the position at any time.

Working at Tr1X

At Tr1X, our team is united by a singular shared mission: to transform patients’ lives through breakthrough science. We are a group of skilled experts driven by urgency, innovation and a collaborative spirit. Our culture thrives on excellence, positivity, persistence and the agility to tackle new challenges head-on. With an unwavering commitment to patients, science and one another, we foster an environment where team members feel engaged, supported and empowered to make a meaningful impact. We envision a world where autoimmune diseases are not just being treated but are cured.

Base Pay Range Anticipated: $145,000 - $160,000

Tr1X considers a variety of factors to determine salary such as education, years of experience, time in the position level, training, knowledge, skills, geographic location, and the market value of the position.

Compensation and Benefits

Tr1X provides a fair and competitive total rewards program that includes base salary; discretionary annual target bonus; incentive stock options; 401(k) retirement plan with company contribution; health and welfare insurance plans for employees (and their families) that include medical, dental, vision, long-term and short-term disability, and life insurance; paid time off (PTO); and paid holidays.

Tr1X embraces a diverse, open, and inclusive environment and believes a strong culture connection is key to success. Tr1X is committed to fairness in recruitment, hiring, transfer, promotion or any other employment practice without regard to race, color, citizenship, national origin, ancestry, religion, sex, pregnancy, marital status, sexual orientation, gender, gender identity and expression, age, physical and medical disability, medical condition, genetic information, political affiliation, protected veteran status, or any other characteristic protected by law. If you are an individual needing assistance to complete an employment application or would like to request an accommodation, please contact the Human Resources department at careers@tr1x.bio.

Notice to Employment Agencies

The Tr1X talent acquisition program is managed through internal resources, and unsolicited referrals and resumes are not accepted from employment agencies, unless advance written authorization is granted from the human resources department. Tr1X shall not be liable for any fees arising from any unsolicited or unauthorized candidate information received relative to position vacancies.

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.

We are seeking a highly motivated Senior Scientist to join our surface chemistry team and contribute to the development of innovative new products in the field of next-generation sequencing and multiomics applications. In this role, you will lead technical execution within defined projects, contribute original ideas, and collaborate closely with cross-functional partners to translate research concepts into robust, manufacturable products. This role will report to the Director, Surface Chemistry and will be a San Diego based role.

If you possess the following and want to make a meaningful impact, we invite you to explore this role.

Essential Functions and Responsibilities:

• Design, develop, and evaluate novel surface chemistry approaches to enable next-generation sequencing/multiomics applications
• Design and execute experiments to evaluate cell–material interfaces using relevant in vitro models
• Lead defined product development efforts, including experimental design, prototyping, functional testing, and data analysis
• Troubleshoot performance issues related to surface fouling, non-specific binding, or cell compatibility
• Identify and resolve experimental challenges related to assay design, protocol execution, reagent selection, and surface performance
• Support the transfer of surface chemistry solutions from research into product development and manufacturing, in collaboration with process development and operations teams
• Maintain hands-on involvement in laboratory experimentation and troubleshooting throughout the development lifecycle
• Contribute innovative ideas and technical insight to early-stage concept development and feasibility assessments
• Contribute technical expertise to invention disclosures and patent applications in collaboration with the IP legal team and senior technical leadership
• Collaborate effectively with colleagues in product management, assay development, engineering, and manufacturing to ensure alignment and successful execution
• Prepare and deliver high-quality technical reports and presentations that summarize findings, support decision-making, and document development progress

Education and Experience:

• PhD. in chemistry, materials science, biochemistry, bioengineering, physics, or a related field
• 5+ years of relevant industry experience in surface chemistry, materials science, or biomolecular interfaces in life sciences or diagnostics
• Strong publication and presentation record, with contributions to patents or novel methods
• Deep expertise in surface chemistry, polymer chemistry and biomolecule–surface interactions is required
• Strong understanding of cell biology, especially cell adhesion and extracellular matrix interactions
• Hands-on experience developing functional coatings for cell-based/biological assays in microfluidics or lab-on-chip devices is highly preferred
• Background in NGS, genomics, proteomics or multiomics platforms is preferred
• Familiarity with surface analytical techniques such as AFM, ellipsometry, FTIR, SEM, TOF-SIMS, and XPS are preferred
• Familiarity with manufacturing constraints, process transfer or scale-up
• Operate with a high degree of independence in experimental planning, execution, and data interpretation, requiring minimal day-to-day supervision
• Apply strong scientific judgment to extrapolate from existing expertise and address novel or ambiguous technical challenges
• Proactively identify risks, knowledge gaps, and opportunities, and propose data-driven paths forward within defined project scope
• Communicate with clarity and purpose across disciplines, enabling alignment, informed decisions, and efficient collaboration

Physical Requirements:

• Frequently moves boxes weighing up to 20 pounds
• The position requires physical activity and the handling of chemicals. Candidates are required to follow the safety protocols and be familiar with personal protective equipment (PPE) while working in the laboratory environment

Location:

• San Diego – On-Site

Travel: 

• Up to 5% or as needed

Job Type:

• Full-time, Exempt

Base Compensation Pay Range:

• $133,000 - $173,000

In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off. 

Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. 

We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.

What You Will Contribute To Altos

As part of our team, you will help to accelerate and optimize our progress in developing unified, multi-modal generative foundation models for multiscale biology. You will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission.

In this role, you will partner and collaborate with other multidisciplinary Scientists and Engineers across the Institute of Computation to design, build, and scale state-of-the-art foundation models that tackle biological questions and aid in the discovery of novel interventions for aging and disease. You will focus on the synthesis of unstructured multimodal signals with the structured relational data and knowledge graphs that represent biological reality.

The successful candidate will thrive in a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity.

Responsibilities

As a Staff Machine Learning Scientist, you will use your experience to focus on designing, developing, and evaluating state-of-the-art foundation models, at scale, to benefit the research.

• Pre-train and fine-tune large-scale machine learning systems using multimodal biological data, natural language, and structured relational inputs.   
• Architect and implement novel hybrid models that integrate Large Language Models (LLMs) with Graph Neural Networks (GNNs) for multi-hop reasoning over biological knowledge graphs .
• Develop Relational Foundation Models (RFMs) that enable zero-shot predictive tasks over heterogeneous, multi-table biological datasets.   
• Lead the design of efficient data loading strategies and distributed training recipes (e.g., FSDP, DeepSpeed) to train models across multiple GPU nodes.   
• Gain insights into model performance based on theory, deep research, and the mathematical underpinnings of set-invariant and graph-structured architectures .
• Apply strong coding experience to model development and deployment, ensuring research prototypes transition into reliable, scalable production systems.
• Stay up-to-date on the latest developments in deep learning—including native early-fusion and Mixture-of-Experts (MoE) architectures—and apply this knowledge to Altos' research .
• Mentor junior staff while maintaining a high individual technical contribution to the core research ecosystem and peer-reviewed publications.

Who You Are  

We are looking for someone who is:

• Excited about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities.
• Highly collaborative in mindset and ways of working across research and engineering boundaries.
• Self-motivated to drive and deliver on long-term technical projects and scientific goals.
• Demonstrates the desire to grow professionally and expand their skillset in biology, machine learning, and/or drug development.
• Able to communicate and explain the design, results, and impact of complex AI architectures to both scientific and non-scientific staff.
• Keen to contribute to seminars and scientific initiatives within Altos and the broader AI research community.

Minimum Qualifications

• PhD in Computer Science, Machine Learning, or a similar quantitative field with 5+ years of relevant work experience in academic or industry settings.
• Prior experience in developing and implementing novel generative AI models, specifically in multimodal integration, GraphRAG, or relational deep learning .
• Deep understanding of Machine Learning principles and how they apply to diverse architectures like Transformers, GNNs, and diffusion models .
• Very strong programming skills in Python and deep learning libraries (e.g., PyTorch, JAX, Hugging Face Transformers/Accelerate).   
• Proven experience with multi-GPU and distributed training at scale (e.g., DDP, FSDP, DeepSpeed, Megatron, or Ray).   
• Strong track record of published, peer-reviewed innovative AI/ML research at top-tier conferences (NeurIPS, ICML, ICLR, CVPR).

Preferred Qualifications

• Familiarity with tabular foundation models (e.g., TabPFN) and in-context learning strategies for structured data .
• Specific experience in native multimodal modeling (early-fusion) or the synthesis of LLMs and Knowledge Graphs .
• Track record of ML applied to biological data, such as NGS data (RNA-seq, ATAC-seq), biological imaging (microscopy, IF), or spatial transcriptomics.
• Experience in optimizing large-scale inference via quantization, distillation, or memory-efficient attention mechanisms.

The salary range for Redwood City, CA:

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000
• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego, CA:

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000
• Senior Scientist I, Machine Learning: $239,500 - $307,000

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

What You Will Contribute To Altos

As part of our team, you will help to accelerate and optimize our progress in agentic AI methods for biological and clinical data curation and analysis.

In this role, you will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission. You will collaborate with biomedical research experts as well as other machine learning scientists and engineers across the Institute of Computation to contribute to the Altos research and translation ecosystem, focusing on designing and building state-of-the-art agentic AI systems and workflows that tackle biological questions, accelerate clinical data analysis, and aid in the discovery of novel interventions for aging and disease.

The successful candidate will combine deep expertise in agentic AI methods with a strong foundation in bioinformatics and/or clinical R&D. You will work closely with domain experts to translate complex biological and clinical data challenges into intelligent, automated solutions. You will thrive in a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity.

Responsibilities

• Design and develop agentic AI workflows for biological and clinical data curation tasks
• Research and implement advanced context engineering techniques (RAG, agentic RAG, graph RAG) tailored to biomedical data
• Develop and optimize prompts and agent architectures for reliability, accuracy, and scientific rigor
• Build LLM-based tool-use systems and integrations relevant to bioinformatics and clinical R&D pipelines
• Collaborate with bioinformatics scientists, clinical researchers, and domain experts to identify automation opportunities and translate them into agentic solutions
• Evaluate and benchmark agentic systems, establishing rigorous metrics for performance and correctness in scientific contexts
• Stay current with the rapidly evolving landscape of agentic AI methods and contribute to internal best practices

Who You Are 

• Proven track record leveraging machine learning and AI to solve real-world problems
• Expertise in agentic AI methods development, including prompt optimization, LLM-based tool use, context engineering (RAG, agentic RAG, graph RAG), and agent evaluation
• Experience writing production-quality code with agentic frameworks (e.g., LangGraph, Pydantic-AI, DSPy, or similar)
• Deep familiarity with bioinformatics and/or clinical R&D, with the ability to engage meaningfully with domain experts on biological and clinical questions
• Proficiency with AI-assisted development tools (e.g., Claude Code, Cursor) to iterate rapidly
• A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential through giving and requesting feedback focused on professional growth
• Able to advise others across the wider function / company on cutting edge agentic AI practices and approaches to enable the science / research. Desire to constantly expand your skillset and knowledge. Keen to learn more about biology, machine learning, and medicine
• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities

Minimum Qualifications

• PhD in Computer Science, Machine Learning, Bioinformatics, or a related field
• Demonstrated experience developing agentic AI systems, including LLM-based tool use, prompt engineering, and context engineering techniques
• Strong foundation in machine learning principles and their application to real-world problems
• Strong background in bioinformatics, computational biology, or clinical R&D
• Familiarity with MCP server development and agent skill creation
• Very strong programming skills in Python, with experience writing production-quality, well-documented code
• Strong track record of published peer-reviewed research in AI/ML and/or computational biology

Preferred Qualifications

• Experience with AWS services (S3, Bedrock, Lambda) in the context of AI/ML workflows
• Experience with clinical trial data, regulatory data curation, or biomedical ontologies (e.g., CDISC, SNOMED, MedDRA)
• Track record working with NGS data (e.g., RNA-seq, ATAC-seq, DNA methylation) or other biological data modalities
• Experience designing evaluation frameworks and benchmarks for agentic AI systems
• Familiarity with knowledge graph construction and graph-based retrieval methods

The salary range for Redwood City:

• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego:

• Senior Scientist I, Machine Learning: $239,500 - $307,000

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

What You Will Contribute To Altos

Altos Labs is building a world-class AI ecosystem to solve the most complex problems in human biology. You will directly design and build high-performance, scalable solutions that unify high-dimensional biomedical imaging with molecular and language data.

By implementing large-scale multimodal data fusion, you will move beyond simple image analysis to create predictive models that map across biological domains. You will be hands-on with the data and the code, collaborating with our engineering team to ensure these models are scalable, efficiently trainable on distributed cloud infrastructure, and accessible to our global research community.

Responsibilities

• Model Development: Design, code, and train large-scale foundation models (e.g., Vision Transformers, Multimodal LLMs) that can embed spatial data and integrate multiple modalities.
• Hands-on Data Fusion: Implement innovative cross-domain mapping and fusion strategies to synchronize heterogeneous biological datasets.
• Scaling & Training: Build and manage high-performance ML pipelines capable of processing petabyte-scale image repositories and multi-omics streams in a cloud environment.
• Technical Collaboration: Work directly in the trenches with experimental scientists and software engineers to translate biological complexity into performant code and reliable distributed systems.

Who You Are

We are looking for a technical specialist who thrives on solving "unsolvable" problems through code and rigorous experimentation. We are open to candidates at the Scientist I, Scientist II, or Senior Scientist level based on technical expertise.

Minimum Qualifications

• Education: PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field.
• Hands-on CV Expertise: Deep experience building and deploying modern Computer Vision architectures (Vision Transformers, U-Nets, Self-Supervised Learning).
• Distributed Training: Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax.
• Programming Mastery: Expert-level Python skills, with a focus on building production-ready machine learning code and large-scale data management systems.
• Scientific Contributions: A track record of technical contributions via high-impact publications (CVPR, ICCV, NeurIPS, etc.) or significant contributions to open-source ML frameworks.

Preferred Qualifications

• Direct experience with Multimodal Fusion (e.g., aligning image embeddings with transcriptomic or proteomic data).
• Proficiency with cloud-native AI tools (AWS/GCP, Kubernetes, Docker) and building automated MLOps workflows.
• Experience handling the unique noise and sparsity of biological data.

The salary range for Redwood City, CA:

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000
• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego, CA:

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000
• Senior Scientist I, Machine Learning: $239,500 - $307,000

#LI-NN1

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

What You Will Contribute To Altos

As part of our team, you will help to accelerate and optimize our progress in developing multi-modal generative foundation models for multiscale biology. We are open to hiring either a Machine Learning Scientist or Machine Learning Engineer.

In either role, you will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission. You will partner and collaborate with other Machine Learning Scientists and Engineers across the Institute of Computation to contribute to the Altos research and translation ecosystem. Focussing on designing and building state-of-the-art multimodal foundation models that tackle biological questions and aid in the discovery of novel interventions for aging and disease. 

The successful candidate will thrive in a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity. 

Responsibilities

Machine Learning Engineer

• As a Machine Learning Engineer you will focus on building, deploying and optimizing machine learning models at scale. 
• Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and natural language inputs.
• Develop efficient data loading strategy and performance tracking to train large models with distributed training across multiple nodes 
• Ability to apply software engineering skills to develop reliable, scalable, performant distributed systems in a cloud environment.

Machine Learning Scientist

• The ideal candidate will be able to use their experience to focus on designing, developing and evaluating state of the art foundation models, at scale, to benefit the research.
• Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and natural language inputs.
• You will be able to gain insights, based on theory, deep research and the mathematical underpinnings of your work.
• Be experienced in using AI as a tool to accelerate your research.
• Can apply strong coding experience to model development using existing languages(s) and framework(s)

Who You Are

We are looking for someone who is :

• Excited about the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities and how they can contribute
• Highly collaborative in mindset and ways of working
• Self-motivated to drive and deliver on projects and goals
• Demonstrates the desire to grow professionally and expand their skillset and knowledge;  is keen to learn more about biology, computational science, and drug development.
• Ability to communicate and explain the design, results, conclusions and the impact of their work to both scientific and nonscientific staff.
• Is able to stay up-to-date on the latest developments in deep learning and apply knowledge to their work.
• Keen to take the opportunity to contribute to seminars and other scientific initiatives within Altos and the broader scientific community.

Minimum Qualifications

Machine Learning Engineer

• MS in Computer Science, Statistics, Machine Learning, Artificial Intelligence, or a related discipline
• 0-5 years of relevant work experience in either an academic or industry setting
• Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate)
• Ideally, experience in a distributed training framework, like DDP, FSDP, Deepspeed, Megatron, or HuggingFace Accelerate, Ray.
• Expertise in a subset of the following: transformers, natural language processing, multi-modality in language and/or in biology, diffusion models.

Machine Learning Scientist

• PhD in Computer Science / Machine Learning or similar fields 
• 0-5 years of relevant work experience in either an academic or industry setting.
• Prior experience in developing and implementing novel generative AI models in a subset of the following: transformers, multi-modality, diffusion models.
• Can demonstrate a deep understanding and expertise of Machine Learning Principles and how they apply to different models  
• Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate)
• Strong track record of published peer reviewed innovative AI/ML research 
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar;
• Experience with multi-GPU and distributed training at scale;

Preferred Qualifications

• Familiarity with multimodal data integration, including early and/or late fusion strategies.
• Track record of ML applied to NGS data (e.g.RNA-seq, ATAC-seq, ChIP-seq, DNA methylation), biological imaging modalities (e.g. microscopy, H&E, IF), and/or spatial transcriptomics.

The salary range for Machine Learning Engineer position in San Diego

• Machine Learning Engineer I: $140,000 - $179,500
• Machine Learning Engineer II: $158,300 - $203,000

The salary range for Machine Learning Engineer position in Redwood City

• Machine Learning Engineer I: $152,600 - $195,600
• Machine Learning Engineer II: $174,200 - $223,300

The salary range for Machine Learning Scientist position in San Diego

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000

The salary range for Machine Learning Scientist  position in Redwood City

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

What You Will Contribute To Altos

As a Senior or Principal Machine Learning Scientist, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology from virtual cells to agentic target assessment.  We are looking for a hands-on, creative, and collaborative individual to join our multidisciplinary team of scientists and engineers focused on transforming how we treat aging and disease. The successful candidate will thrive in a fast-paced environment that emphasizes teamwork, transparency, scientific excellence, originality, rigor, and integrity.

Responsibilities

• Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models, causal inference, diffusion models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation
• Contribute to setting the long-term technical vision and research strategy for a core domain (e.g., multi-modal data fusion, perturbation modeling) within the Institute of Computation
• Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
• Design, implement, and optimize large-scale machine learning systems using modern frameworks (e.g., PyTorch, JAX) and  agile practices
• Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters to handle terabytes of multi-modal biological data
• Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
• Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
• Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
• Act as a key technical mentor to Machine Learning Scientists and Engineers, raising the bar for scientific rigor and model robustness across the organization.

Who You Are

• Proven track record leveraging machine learning to solve real-world problems;
• Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning, cooperative agents
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar
• Experience with multi-GPU and distributed training at scale
• A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential through giving and requesting feedback focussed on professional growth
• Able to advise others across the wider function / company on cutting edge practices and approaches to enable the science / research. Desire to constantly expand your skillset and knowledge. Keen to learn more about biology, computational science, and medicine;
• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities.

Minimum Qualifications

• Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, demonstrating a deep theoretical foundation in ML/AI.
• 6+ years of of relevant post-PhD work experience in either an academic or industry setting
• Proven experience developing and applying complex machine learning models, preferably with a significant portion of that time spent in a fast-paced industry or translational research environment.
• A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR) or high-impact scientific journals.
• Excellent scientific communication skills: verbally and in writing; with computational and non-computational audiences, in informal 1-1 settings, team meetings, and formal seminars
• Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
• Proven experience applying sophisticated ML techniques to molecular and cell biological data sets (e.g., NGS, spatial omics, bioimaging).

Preferred Qualifications

• Experience in cell health and rejuvenation related research area
• Experience in the application of machine learning methods to biological data
• Experience in computational approaches to drug discovery
• Experience with software development methodologies and open-source software

The salary range for Redwood City, CA:

• Senior Scientist I, Machine Learning: $257,400 - $330,000
• Senior Scientist II, Machine Learning: $290,900 - $373,000
• Principal Scientist, Machine Learning: $330,800 - $424,100

The salary range for San Diego, CA:

• Senior Scientist I, Machine Learning: $239,500 - $307,000
• Senior Scientist II, Machine Learning: $262,100 - $336,000
• Principal Scientist, Machine Learning: $312,100 - $400,100

Exact compensation may vary based on skills, experience, and location.

Before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

What You Will Contribute To Altos

As a Senior or Principal Machine Learning Scientist, you will play a prominent role in developing generative AI/ML models for multi-modal, multiscale biology from virtual cells to agentic target assessment.  We are looking for a hands-on, creative, and collaborative individual to join our multidisciplinary team of scientists and engineers focused on transforming how we treat aging and disease. The successful candidate will thrive in a fast-paced environment that emphasises teamwork, transparency, scientific excellence, originality, rigor, and integrity.

Responsibilities

• Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models, causal inference, diffusion models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation
• Contribute to setting the long-term technical vision and research strategy for a core domain (e.g., multi-modal data fusion, perturbation modeling) within the Institute of Computation
• Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
• Design, implement, and optimize large-scale machine learning systems using modern frameworks (e.g., PyTorch, JAX) and  agile practices
• Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters to handle terabytes of multi-modal biological data
• Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
• Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
• Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
• Act as a key technical mentor to Machine Learning Scientists and Engineers, raising the bar for scientific rigor and model robustness across the organization.

Who You Are

• Proven track record leveraging machine learning to solve real-world problems;
• Expertise in one or more of the following: generative models, language models, computer vision, bayesian inference, causal reasoning & inference, transfer & multi-task learning, diffusion models, graph neural networks, active learning, cooperative agents
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar
• Experience with multi-GPU and distributed training at scale
• A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential through giving and requesting feedback focussed on professional growth
• Able to advise others across the wider function / company on cutting edge practices and approaches to enable the science / research. Desire to constantly expand your skillset and knowledge. Keen to learn more about biology, computational science, and medicine;
• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities.

Minimum Qualifications

• Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, demonstrating a deep theoretical foundation in ML/AI.
• 6+ years of of relevant post-PhD work experience in either an academic or industry setting
• Proven experience developing and applying complex machine learning models, preferably with a significant portion of that time spent in a fast-paced industry or translational research environment.
• A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR) or high-impact scientific journals.
• Excellent scientific communication skills: verbally and in writing; with computational and non-computational audiences, in informal 1-1 settings, team meetings, and formal seminars
• Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
• Proven experience applying sophisticated ML techniques to molecular and cell biological data sets (e.g., NGS, spatial omics, bioimaging).

Preferred Qualifications

• Experience in cell health and rejuvenation related research area
• Experience in the application of machine learning methods to biological data
• Experience in computational approaches to drug discovery
• Experience with software development methodologies and open-source software

The salary range for Cambridge, UK:

• Senior Scientist I, Machine Learning: £115,600 - £152,100
• Senior Scientist II, Machine Learning: £131,900 - £173,500
• Principal Scientist, Machine Learning: £173,700 - £228,600

Exact compensation may vary based on skills, experience, and location.

Before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

What You Will Contribute to Altos

This is an opportunity to join the state-of-the-art Virtual Cell team that recently won the Generalist prize in the ARC Virtual Cell Challenge. Here you will help to accelerate and optimize our progress in developing multi-modal generative foundation models for multiscale biology. 

In this role, you will be an integral part of our multidisciplinary teams enabling Altos to achieve its mission. You will partner and collaborate with other Machine Learning Scientists and Engineers, as well as other computational scientists and biologists, across the Institute of Computation to contribute to the Altos research and translation ecosystem. This role is focused on improving our state-of-the-art “virtual cell” models, encompassing gene and protein modeling, imaging, and other modalities to aid in the discovery of novel interventions for aging and disease. 

The successful candidate will thrive in a fast-paced environment that emphasises/emphasizes *please spell differently for UK/US teamwork, transparency, scientific excellence, originality, and integrity.

Responsibilities

• Use your experience to focus on designing, developing and evaluating state of the art foundation and focused models, at scale, to advance the Altos mission
• Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and prior knowledge inputs.
• Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models,  diffusion/flow matching models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation
• Design, implement, and optimize large-scale machine learning systems using modern frameworks (e.g., PyTorch, JAX), AI-assisted coding, and agile practices
• Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters to handle terabytes of multi-modal biological data
• Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
• Participate in the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation

Who You Are

• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities
• Highly collaborative in mindset and ways of working
• Self-motivated to drive and deliver on projects and goals
• Focused on professional growth and expanding you skillset and knowledge
• Able to communicate and explain the design, results, conclusions and the impact of their work to both scientific and nonscientific staff.
• Able to stay up-to-date on the latest developments in deep learning and apply knowledge to their work.
• Keen to take the opportunity to contribute to seminars and other scientific initiatives within Altos and the broader scientific community.

Minimum Qualifications

• Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, demonstrating a deep theoretical foundation in ML/AI.
• Relevant work experience in either an academic or industry setting.
• Prior experience in developing and implementing novel generative AI models in a subset of the following: transformers, multi-modality, diffusion/flow matching models.
• Can demonstrate a deep understanding and expertise of Machine Learning Principles and how they apply to different models  
• Proven experience developing and applying complex machine learning models, preferably with a significant portion of that time spent in a fast-paced industry or translational research environment.
• Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate)
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar;
• Experience with multi-GPU and distributed training at scale;

Preferred Qualifications

• Strong track record of published peer reviewed innovative AI/ML research 
• Experience in cell health and rejuvenation related research area
• Experience in the application of machine learning methods to biological data
• Experience in computational approaches to drug discovery
• Experience with software development methodologies and open-source software

The salary range for Cambridge, UK:

• Scientist I, Machine Learning: £74,900 - £98,500
• Scientist II, Machine Learning: £107,900 - £142,000
• Senior Scientist I, Machine Learning: £115,600 - £152,100

Exact compensation may vary based on skills, experience, and location.

Before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

What You Will Contribute To Altos

This is an opportunity to join the state-of-the-art Virtual Cell team that recently won the Generalist prize in the ARC Virtual Cell Challenge. Here you will help to accelerate and optimize our progress in developing multi-modal generative foundation models for multiscale biology. 

In this role, you will be an integral part of our multidisciplinary teams enabling Altos to achieve its mission. You will partner and collaborate with other Machine Learning Scientists and Engineers, as well as other computational scientists and biologists, across the Institute of Computation to contribute to the Altos research and translation ecosystem. This role is focused on improving our state-of-the-art “virtual cell” models, encompassing gene and protein modeling, imaging, and other modalities to aid in the discovery of novel interventions for aging and disease. 

The successful candidate will thrive in a fast-paced environment that emphasises/emphasizes *please spell differently for UK/US teamwork, transparency, scientific excellence, originality, and integrity.

Responsibilities

• Use your experience to focus on designing, developing and evaluating state of the art foundation and focused models, at scale, to advance the Altos mission
• Pre-train and fine-tune large-scale machine learning systems using multimodal biological data and prior knowledge inputs.
• Pioneer novel machine learning methodologies and statistical frameworks (e.g., generative models,  diffusion/flow matching models, and advanced transformer architectures) to address fundamental challenges in cell health and rejuvenation
• Design, implement, and optimize large-scale machine learning systems using modern frameworks (e.g., PyTorch, JAX), AI-assisted coding, and agile practices
• Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters to handle terabytes of multi-modal biological data
• Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
• Participate in the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation

Who You Are

• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities
• Highly collaborative in mindset and ways of working
• Self-motivated to drive and deliver on projects and goals
• Focused on professional growth and expanding you skillset and knowledge
• Able to communicate and explain the design, results, conclusions and the impact of their work to both scientific and nonscientific staff.
• Able to stay up-to-date on the latest developments in deep learning and apply knowledge to their work.
• Keen to take the opportunity to contribute to seminars and other scientific initiatives within Altos and the broader scientific community.

Minimum Qualifications

• Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field, demonstrating a deep theoretical foundation in ML/AI.
• Relevant work experience in either an academic or industry setting.
• Prior experience in developing and implementing novel generative AI models in a subset of the following: transformers, multi-modality, diffusion/flow matching models.
• Can demonstrate a deep understanding and expertise of Machine Learning Principles and how they apply to different models  
• Proven experience developing and applying complex machine learning models, preferably with a significant portion of that time spent in a fast-paced industry or translational research environment.
• Very strong programming skills, including experience with Python and deep learning libraries (PyTorch, Hugging Face Transformers, H-F Datasets, H-F Accelerate)
• Experience writing production-quality code with modern machine learning frameworks such as PyTorch, TensorFlow, JAX, or similar;
• Experience with multi-GPU and distributed training at scale;

Preferred Qualifications

• Strong track record of published peer reviewed innovative AI/ML research 
• Experience in cell health and rejuvenation related research area
• Experience in the application of machine learning methods to biological data
• Experience in computational approaches to drug discovery
• Experience with software development methodologies and open-source softwar

The salary range for Redwood City, CA:

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000
• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego, CA:

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000
• Senior Scientist I, Machine Learning: $239,500 - $307,000

Exact compensation may vary based on skills, experience, and location.

Before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

#LI-NN1

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.

We are seeking a highly skilled and motivated Bioinformatics Scientist to join our Bioinformatics and Scientific Affairs team. The ideal candidate will have a strong foundation in bioinformatics and data analysis, with hands-on experience working with multiomic and single-cell data. This role focuses on generating high-quality analyses that support scientific publications, conference presentations, and customer-facing enablement. The candidate will collaborate closely with internal scientific teams and external partners to advance our multiomics platform and drive impactful research outcomes. This role will report to the VP, Bioinformatics and Scientific Affairs and is a 1-year post-doc program with the possibility of conversion to a full-time employment at the end of the program.

If you possess the following and want to make a meaningful impact, we invite you to explore this role.

Essential Functions and Responsibilities:

• Design, execute, and interpret multiomic and single-cell data analyses to generate publication-quality scientific insights
• Develop and maintain bioinformatics pipelines and software tools to support platform development and customer enablement
• Contribute to scientific publications and conference presentations, including manuscript preparation, figure generation, and data visualization
• Collaborate closely with wet-lab scientists, product teams, and external partners to design experiments and interpret results
• Apply statistical methods and exploratory data analysis to large multiomic datasets to identify biologically meaningful patterns
• Communicate scientific findings to internal stakeholders and external audiences through reports, presentations, and peer-reviewed publications
• Stay current with advances in sequencing technologies, multiomics methods, and bioinformatics best practices

Education and Experience:

• PhD degree in Bioinformatics, Computational Biology, Genomics, or a related field with 0-3 years of experience
• Demonstrated experience in bioinformatics data analysis, including RNA-seq, single-cell, and/or multiomic workflows
• Proficiency in working with multiomic and single-cell data (e.g., scRNA-seq, CITE-seq, spatial transcriptomics)
• Strong background in statistics and experimental design, including experience with differential expression and multi-group comparisons
• Proficiency in programming languages and tools such as Python, R, and Bash, with experience in relevant bioinformatics libraries (e.g., Seurat, Scanpy, DESeq2)
• Experience with cloud computing platforms (e.g., AWS)
• Familiarity with standard bioinformatics tools, databases, and pipelines (e.g., STAR, GATK, CellRanger, cloud-based HPC environments such as AWS)
• Track record of scientific contribution, including peer-reviewed publications or conference presentations
• Experience with next-generation sequencing platforms and genomics workflows; familiarity with sequencing data QC and benchmarking is a plus
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration skills

Location:

• San Diego onsite (hybrid potential)

Travel: 

• Domestic travel up to 10%

Job Type:

• Post-doc program (1 year contract)

Base Compensation Pay Range:

• $95,000 - $110,000

In addition to base compensation noted above, you will be eligible for no cost health insurance plans, 401k with company match, and flexible paid time off. 

Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. 

We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.

We are seeking a Scientist, Histology to join our R&D team supporting the development of a next-generation multi-omics product for tissue samples, including formalin-fixed paraffin-embedded (FFPE) and fresh frozen (FF)specimens. In this role, you will lead and execute tissue preparation workflows and contribute to the development and optimization of protocols that enable robust downstream molecular and imaging assays. 

The ideal candidate brings strong expertise in histology and tissue processing along with experience working in cross-functional R&D environments. This role will play a key part in enabling the development of innovative spatial and multi-omic technologies. This role will report to the VP, Biochemistry and will be a role at our San Diego headquarters.

If you possess the following and want to make a meaningful impact, we invite you to explore this role.

Essential Functions and Responsibilities:

• Lead the preparation and processing of tissue specimens, including FFPE and fresh frozen tissues, for assay development and research applications
• Design, develop, and optimize histology workflows to support multi-omics and spatial biology assays specific to Element’s platform
• Perform tissue fixation, embedding, microtomy, cryosectioning, and slide preparation to generate high-quality tissue sections
• Develop and execute routine and advanced staining protocols, including H&E, immunohistochemistry (IHC), and immunofluorescence (IF)
• Evaluate tissue morphology and section quality, identify artifacts, and troubleshoot issues related to fixation, processing, and sectioning
• Establish quality control assays for tissue sections and blocks
• Collaborate with molecular biology, assay development, imaging, and bioinformatics teams to integrate tissue workflows into broader product development efforts
• Design and execute experiments to evaluate new reagents, tissue preparation protocols, and assay formats
• Establish and maintain standard operating procedures (SOPs) for histology and tissue handling workflows
• Operate and maintain histology instrumentation including microtomes, cryostats, automated tissue processors, and staining systems
• Analyze and communicate experimental results and present findings to cross-functional teams
• Mentor and provide technical guidance to research associates and junior scientists
• Support quality control and reproducibility efforts for tissue-based assays in product development

Education and Experience:

• PhD is preference OR MS with 4–6 years of relevant hands-on histology experience, OR BS with 5–7 years of relevant hands-on histology experience, preferably in a biotechnology, research, or clinical laboratory environment
• Strong expertise in: FFPE tissue processing and embedding; Fresh frozen tissue handling and cryosectioning; Microtomy and cryostat operation
• Experience performing routine histological staining (e.g., H&E) and immunostaining techniques with interpretation
• Demonstrated ability to produce high-quality, reproducible tissue sections suitable for microscopy and molecular assays
• Experience in preparation and quality control and integrity assessment of tissue samples for wide range of downstream workflows and assays
• Strong understanding of tissue morphology and common histological artifacts
• Experience troubleshooting histology workflows and optimizing protocols
• Strong documentation and communication skills
• Ability to work effectively in a fast-paced, multidisciplinary R&D environment
• HT or HTL certification (ASCP)
• Experience with multiplex immunofluorescence or spatial biology assays
• Familiarity with in situ hybridization techniques (e.g., RNAscope)
• Experience with spatial, single cell and bulk RNAseq and protein assays on tissue samples
• Experience with automated staining platforms (e.g., Leica, Ventana, Sakura)
• Experience working with human clinical tissue samples
• Prior experience contributing to biotech product or assay development
• Experience supporting spatial transcriptomics, proteomics, or other tissue-based multi-omics workflows

Physical Requirements:

• Frequently moves boxes weighing up to 20 pounds
• The position requires physical activity and the handling of chemicals; Candidates are required to follow the safety protocols and be familiar with personal protective equipment (PPE) while working in the laboratory environment

Location:

• San Diego - Headquarters

Travel: 

• Up to 10%

Job Type:

• Full-time/Exempt

Base Compensation Pay Range:

• $116,000 - $152,000

In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off. 

Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience. 

We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.

We are looking for a Senior Algorithm Scientist to develop and validate the next generation of health sensing algorithms at Oura. Health sensing algorithms underpin the suite of features we offer to our members. As an algorithm scientist, your work will have a wide ranging impact and provide the foundation for new insights delivered to millions of Oura members around the world.

What you will do: 

• Contribute to the research, development and deployment of signal processing and machine learning algorithms for Oura features/products based on a range of sensing modalities
• Conduct early stage exploratory research to identify and characterize new potential sensing features and functionality. Develop proof-of-concept features and work with a cross-functional team to take these from proof-of-concept to a commercialized product
• Design and support internal and external data collection studies to develop, evaluate, benchmark and improve new biomarkers and algorithms and to evaluate the signal quality of hardware and firmware prototypes

• Develop and maintain internal signal evaluation tools and libraries to help Oura’s hardware and firmware teams optimize current and next-generation products

• Document, summarize, and present data analysis and algorithm performance results with concrete actionable recommendations for a broad audience on a regular basis
• Support the incorporation of new sensing modalities into next-generation hardware by running feasibility studies and providing scientifically-backed guidance to other teams (hardware, firmware, product, etc)
• Coordinate with cross-functional teams and overseas stakeholders

Requirements

We would love to have you on our team if you have:

• PhD degree with three years of work experience OR MSc degree with five years of work experience in biomedical engineering, electrical engineering, neural engineering or a related field
• 3+ years of solid programming skills in Python and experience with code collaboration tools (git, peer review, etc)
• Experience with signal processing methods and time-series analysis (FIR/IIR filters, Kalman filtering, adaptive filtering, stochastic processes, etc) 
• Experience with biosignal sensing and wearable hardware (including hardware prototypes) is a plus
• A pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively
• Flexible schedule and good asynchronous communication skills to work with Oura’s Finnish teams (early morning meetings two to three times a week)
• This role is based in San Diego, with at least three days in office (at our Carmel Mountain location).

Benefits

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 2: $158,950 - $187,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)

Treeline Biosciences, a clinical-stage biotechnology company advancing precision medicines, is seeking an experienced small molecule process chemist to drive the development, scale-up, and commercial readiness of our small molecule, clinical-stage portfolio. This role centers around close collaboration with the medicinal chemistry team within the discovery portfolio. Additionally, the role is critical to ensuring clinical supply and commercial readiness for identified programs and ensuring that drug substance manufacturing processes meet quality, regulatory, safety, scalability, and scalability expectations. 

About the Position

Senior Scientist / Principal Scientist – Process Chemistry (Discovery Process Research)

Position Overview

We are seeking an experienced synthetic chemist to join our Process Chemistry (Discovery Process Research) team supporting drug discovery programs. This role focuses on route invention, reaction development, and scalable synthesis of key intermediates and drug candidates.

The scientist will lead from the bench within our project-based research and development organization, designing and executing synthetic strategies that enable discovery programs. The successful candidate will collaborate with cross-functional teams, including Medicinal Chemistry, DMPK, Toxicology, Drug Product, and Analytical Sciences to develop practical routes that support SAR exploration and deliver material for biological and early toxicology studies. The role emphasizes modern synthetic methodologies, efficient route design, and early scalability assessment.

Scientific Impact

• Enable drug discovery through innovative synthetic strategy. Develop creative and efficient routes that accelerate SAR exploration, enable rapid evaluation of new chemical matter, and deliver material for early toxicology studies.
• Solve complex synthetic challenges. Apply modern synthetic methodologies to access structurally complex molecules and support emerging therapeutic modalities.
• Translate discovery chemistry into scalable processes. Design practical routes that support both rapid compound synthesis and early-stage scale-up.
• Advance cross-disciplinary drug discovery. Partner closely with discovery scientists to translate synthetic innovation into therapeutic progress.

Responsibilities

• Collaborate with medicinal chemistry partners to support candidate selection and developability assessments.  Advise and assist with sourcing scaffolds and intermediates as appropriate. 
• Design and execute route scouting and synthetic strategies for drug candidates and key intermediates.
• Design and optimize chemical transformations and scalable synthetic routes to enable efficient and robust processes for discovery and early development programs.
• Enable rapid compound synthesis and methodologies to support SAR campaigns and discovery timelines.
• Apply modern synthetic technologies to address complex synthetic challenges.
• Support multi-gram to kilogram-scale synthesis for biological and toxicology studies.
• Manage external partners and cultivate strong, collaborative relationships to support program objectives.
• Contribute to early CMC understanding, including impurity identification and process considerations.
• Communicate results through technical reports, documentation, and presentations.
• May be involved with preparations for the first GMP synthesis of a clincial candidate for Phase 1 trials.
• Ability to travel up to 10% to support program needs, including on-site support at manufacturing plants and partner collaboration.

Qualifications

• Ph.D. in Organic Chemistry or related discipline with 3–8+ years of relevant industry or postdoctoral experience; M.S. with 6–10+ years of industry experience also considered.
• Strong expertise in synthetic organic chemistry, reaction development, and route design.
• Experience with complex molecule synthesis and route optimization.
• Familiarity with scale-up considerations and impurity control in chemical processes.
• Ability to work effectively within cross-functional discovery teams.
• Experience working with and managing external CDMO partners. 
• Strong written and verbal communication skills.
• Strong project leadership skills with the ability to manage complex timelines, multiple stakeholders, and evolving program priorities. 
• Strong communication and collaboration skills with a proven ability to work cross-functionally in a fast-paced, science-driven environment. 
• High level of personal integrity, commitment to excellence and to our patients 

Desired Experience

• Experience with modern synthetic methodologies and technologies (e.g., catalysis, flow chemistry, photochemistry, high-throughput experimentation, as well as other techniques).
• Experience enabling synthesis of structurally complex drug candidates or emerging modalities.
• Demonstrated creative problem solving in synthetic chemistry.

This position is classified as exempt. The anticipated annual base salary range for candidates who will work in San Diego is $166,380 to $189,533. The final base salary offered to the successful candidate will be dependent upon several factors that may include but are not limited to the type and length of experience within the job, and other factors. Treeline Biosciences is a multi-state employer, and this salary range may not reflect positions that work in other cities or states.

Recruitment fraud statement

Please be aware of recruitment fraud and related job scams, where scammers present themselves as recruiters but are seeking to steal money or personal information. Keep the following in mind to protect yourself:

• Treeline Biosciences will never ask for money from you as part of our recruitment process. Do not provide bank details or pay somebody for the promise of a job at Treeline.
• We do not conduct interviews through RingCentral, Skype or Telegram.
• Our job openings are first posted to treeline.bio/careers. If you locate a listing for a Treeline job on another site, please ensure it is also posted on our careers website.
• You can find more information about job scams at consumer.ftc.gov/articles/job-scams.
• To report job scams, head to ReportFraud.ftc.gov.

What You Will Contribute To Altos

An exciting opportunity is available to join Altos Labs. We are seeking highly motivated, creative, and collaborative individuals who are passionate and dedicated about using their expertise to make impactful contributions for unraveling the deep biology of cellular rejuvenation programming to restore cell health and resilience, including basic science, pre-clinical, and clinical-stage programs.

Responsibilities

• Engage in ground-breaking and innovative science.
• Support and manage internal/external collaborations in one or more multidisciplinary projects to accelerate essential research activities. 
• Study the mechanistic basis of cell programming for health and rejuvenation.
• Responsible for mentoring graduate students.
• Responsible for developing project-specific experimental strategies, techniques, and procedures.
• Responsible for helping PI train lab members, including scientists and technicians.
• Contribute to writing and dissemination of research results.
• Carry out research projects in collaboration with the PI.

Who You Are

We have multiple Scientist openings are are interested in having people at varying levels of experience. Minimum requirements for the Scientist role include:

• PhD and a documented record of professional achievement in the form of impactful publications.
• Excellent computer skills, including advanced proficiency with Google apps, Excel, and Powerpoint graphic skills to produce documents and manage office projects.
• Excellent professional writing skills and the ability to attune through writing and presentations to a variety of audiences including senior executives through entry-level employees.
• Problem-solving skills sufficient to identify issues, conduct research, and develop innovative solutions. 
• Ability to maintain cooperative working relationships with a broad range of people, including staff colleagues, lab members, faculty, outside agencies and collaborators, and the community. 
• Demonstrated high productivity and ability to complete work in a timely manner.
• Ability to organize work and set priorities.
• Ability to focus on details to produce accurate, quality work driven by deadlines.
• Ability to work in a dynamic environment and with others in a team.
• Strengths in dealing with ambiguity.

Preferred Qualifications

• Candidates with strong training in the following fields are preferred:
  
  
  • Epigenetics and Epigenetic modifications
  • Metabolism, including metabolome and adipose tissue/skeletal muscle/liver metabolism
  • Stem cell biology, prior experience with animal models is a plus
  • Single cell analysis of animal tissues
  • Screen platforms, including small molecules, CRISPR/Cas systems, RNAi, etc.
  • Gene delivery systems, including enhancing the delivery efficiency of AAVs
  • Tissues crosstalk
  • Animal disease models

The salary ranges for this position in San Diego, CA: 

• Scientist I $116,450 - $157,550
• Scientist II $137,000- $184,800
• Senior Scientist I $154,000 - $204,000
• Senior Scientist II $170,000- $247,000

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (https://bit.ly/3fHGl98)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment

We’re looking to hire a Strategic Deployment Manager to join us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!

As a member of our Enterprise Informatics team, you’ll play a vital role in all stages of the Schrödinger Platform deployment for customers, from initial project scoping through to long term successful adoption. By serving as the bi-directional voice for these customers, you’ll also help drive future product development strategy.

Click here for more information about how the Schrödinger Platform is helping shape the future of collaborative therapeutic design. 

Who will love this job:

• A pharmaceutical or chemical enterprise software technology expert who’s knowledgeable about industry best practices and enjoys interacting with medicinal chemists, computational chemists, biologists, and project leadership
• A scientist who understands project management in a corporate research setting (direct experience with pharmaceutical drug discovery is a huge plus!)
• An effective communicator with excellent organizational skills
• A customer-service oriented deployment manager who’s passionate about helping drive user success

What you’ll do:

• Manage LiveDesign implementation projects from early-stage discussions through deployment, training, and growth
• Ensure long-term customer success through use of the Schrödinger Platform
• Collaborate internally with Account Managers, Applications Scientists, Solutions Architects, and the Education team to ensure success of the account by enabling substantial growth and usage
• Help drive the product roadmap and development by working closely with product management and engineering, representing real-world customer needs

What you should have:

• B.Sc. in a life science (M.Sc. or Ph.D. preferred)
• At least three years of experience in a life sciences field related to drug discovery
• Experience with computational chemistry or cheminformatics in a research setting

Schrödinger understands it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, equity-based compensation, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program. We have catered meals in the office, a company culture that is relaxed but engaged, and over a month of paid vacation time. Our Administrative and Human Resources departments also plan a myriad of fun company-wide events. Schrödinger is honored to have been included in Crain's New York Best Places to Work, BuiltIn's NYC Best Place to Work, and Newsweek's list of America's 100 Most Loved Workplaces. 

Sound exciting? Apply today and join us!

This post was generated on behalf of our client:

Job Description: We are looking for a highly skilled and experienced Principal Scientist to join our team. As a Principal Scientist, you will be responsible for leading scientific research and development projects, providing technical expertise, and driving innovation in our organization.

Responsibilities:

• Lead and manage scientific research projects from inception to completion
• Develop and optimize scientific methodologies and protocols
• Analyze and interpret complex data, and present findings to stakeholders
• Provide technical guidance and mentorship to junior scientists
• Collaborate with cross-functional teams to translate scientific discoveries into practical applications
• Stay updated with the latest advancements and trends in the field

Requirements:

• Ph.D. in a relevant scientific discipline
• Extensive experience in scientific research and development
• Strong expertise in the specific scientific domain relevant to the position
• Proven track record of successful project management and execution
• Excellent analytical and problem-solving skills
• Strong communication and leadership abilities

Salary Range: $130,000 - $200,000 per year