What You Will Contribute To Altos

In this role you will support a dynamic research discovery team focused on science related to cellular rejuvenation and aging in human health. Primary job responsibilities involve utilization of advanced cellular assays using human induced pluripotent stem cell (iPSC) models. You will use your knowledge of research laboratory operations and scientific communication to drive experimental outcomes to support emerging therapeutic hypotheses.

Responsibilities:

• Execute and conduct research and development experimentation within a tissue culture laboratory setting where you support multiple research projects and coordinate with multiple project teams.
• Proactively evaluate research activities to determine where new information, methods, or collaborations could positively impact projects and improve efficiency of processes.
• Develop and implement innovative laboratory techniques and systems needed to meet the lab’s research goals, and provides technical training and mentorship on these methodologies. 
• Offers strong sound theoretical knowledge with the ability to independently troubleshoot processes and challenges using first-hand experience.
• Interprets experimental results, innovates new approaches, and prepares findings for supporting Altos research projects including opportunities to publish and present in peer reviewed journals and conferences.
• Function as the subject matter expert, training facilitator, and scheduling coordinator for highly specialized in vitro culture assay workflows.

Who You Are:

• Bachelor’s or Master’s degree plus at least five years of hands-on experimental laboratory experience performing mammalian tissue culture techniques (industry or academia).
• Demonstrated proficiency in the following methodologies, with a commitment to continuous advancement and optimization:
• Mammalian cell culture techniques (aseptic technique, viability, passaging, transfections)
• High throughput 96 and 384 well plate set-up for downstream analysis
• IF sample preparation, flow cytometry preparation
• RT-qPCR, RNA/DNA isolation, immunoblot
• iPSC experience 
• Fluency with spreadsheets and statistical data analysis
• Excellent electronic lab notebook (ELN) record keeping skills and/or familiarity operating within the standards of a GMP/GLP environment.
• Proven ability to set functional independent goals based on experimental needs and succinctly and accurately communicate scientific results within a multidisciplinary project team.
• Effective team communication via written documents, slide decks, and meeting participation. 

The salary range for Redwood City

• Senior Research Associate: $109,200 - $140,000

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

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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 a Project Team Leader, you will be accountable for execution for our high-priority therapeutic programs. This is a high-visibility leadership role that sits at the intersection of science, strategy, and operations. You will lead multidisciplinary teams through the complexities of the drug development lifecycle—from preclinical proof-of-concept through clinical trials and regulatory filing.

The ideal candidate possesses a rare blend of scientific expertise and leadership skills, required to align diverse stakeholders in a fast-paced biotech environment.

Key Responsibilities

• Cross-Functional Leadership: Lead a matrixed team of experts across Discovery, Preclinical, Clinical, and CMC (Manufacturing), to drive project advancement.
• Strategic Planning: Develop and present options for the program for senior management, including timing, target profiles, and cost. 
• Financial Oversight: Manage the program budget, including resource allocation, forecasting.
• Stakeholder Management: Act as the primary point of communication for executive leadership. Lead discussions within the team to interpret data and develop recommendations.  Lead governance and technical discussions. 
• Risk & Mitigation: Proactively identify "deal-breakers" in the development path. You don't just report risks; you build contingency plans to bypass them.

Who You Are

Minimum Qualifications

• Education: Ph.D, M.D.. or Master’s degree in Life Sciences (Biology, Chemistry, etc.) or business.
• 15+ years in the biotech or pharmaceutical industry, with at least 4 years in a dedicated project leadership or program management role
• Proven track record moving assets from research through IND-enabling and clinical studies.
• Ability to manage cross-functional teams, delegate appropriately, and strong understanding of what goes into high quality decision making 
• Experience in areas from target validation and drug discovery through clinical trials.  
• Experience utilizing AI tool in drug discovery and development
• Building effective organizational relationships at senior and peer levels to get important work completed
• A startup mindset—comfortable with ambiguity and able to alter direction when needed..
• Able to distill critical decisions to facilitate decision making. Able to clearly communicate in writing or presentation, and to so while minimizing misunderstandings or negative reactions.
• Through modeling and artful interactions, continue to build a culture of honesty, integrity and respect for the Altos organization and demonstrate our Altos Behaviors.
• Teamwork and Collaboration: focus on what is best for Altos

The salary range for Redwood City, CA:

• Project Team Leader: $313,200 - $401,500

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

At Altos, your work will be at the heart of a mission to transform medicine by reversing disease and restoring cell health. You will contribute to the development of a new generation of drugs rooted in an advanced understanding of cellular rejuvenation and resilience.

As a Sr Scientist of Discovery Pharmacology team, your primary focus will be supporting the in vitro pharmacology needs of the Drug Discovery and Development (3DS) division of Altos. This is a laboratory research scientist position focused on the development and execution of cell-based and biochemical assays, and complex in vitro models. Your work will contribute to our drug discovery campaigns across a diverse portfolio of drug discovery and development stage projects. Your expertise will be instrumental in driving our mission and making a significant impact in aging/rejuvenation biology and drug discovery. 

Responsibilities

• Investigate and validate drug targets, define mechanisms of action (MoA) through robust pharmacology strategies.
• Design, automate, and troubleshoot all kinds of assays.
• Analyze data and present it to help make project decisions.
• Keep great records in the electronic lab notebook (ELN), ensure reproducibility and data integrity.
• Work with people across different teams, including the Product Development crew.

Who You Are 

Required Qualifications

• A Ph.D. (Pharmacology, Bio, etc.) plus at least 6 years of post-PhD experience AND 3+ years industry experience in drug discovery and development.
• You need to be able to design your own experiments and get solid, repeatable results.
• Major experience with cellular and biochemical assays and complex in vitro models.
• You must be a pro with lab automation and high-throughput techniques (think Bravo, Echo, I.DOT, and tech like MSD, HTRF, AlphaLISA).
• Good communication skills and you're fast, organized, and can handle a lot.
• Experience working with outside labs (CROs) is also required.

Preferred Qualifications

• Experience with high-content imaging in high-throughput settings (96- and 384-wells).
• Worked with different drug types (small molecules, nucleic acids, gene therapies).
• Knowledge of aging/rejuvenation biology is a huge plus.
• Screening experience with various modalities (small molecules, siRNA, ASO).
• Familiarity with microfluidics assays.

The salary range for Redwood City, CA:

• Senior Scientist I, In Vitro Pharmacology $176,000 - $225,700

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 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

The Altos Security team is looking for a highly collaborative Senior Engineer to join our team to help enhance and extend our human focused security program. You will be working directly with scientists, engineers, and IT staff to enable a hyper collaborative environment supporting world class research and development programs. You will build modern, scalable security capabilities that protect sensitive scientific data and AI/ML workloads, improve our readiness to handle security incidents, and strengthen threat detection, response, and data protection across cloud and on-prem environments. This opportunity will give you the chance to build an effective security program that directly impacts the trust and safety of our organization and its stakeholders.  

Candidates for this role should take pride in balancing risks and benefits of any security control, system or action as well as always looking for opportunities to optimize, automate, reduce and simplify systems. 

Responsibilities

• Develop security controls that can enable scientists and researchers while protecting sensitive data (intellectual property, regulated data, experimental datasets)
• Perform threat modeling and risk assessments for applications, infrastructure, AI/ML systems, and lab/OT environments; translate findings into pragmatic controls and roadmaps
• Leverage DevOps principles and Infrastructure as Code techniques to scale security systems and controls
• Build automations and integrations (SOAR) around tools, processes, and systems to facilitate ongoing operations, reduce toil, and improve response times
• Manage Incident Response - prepare playbooks, perform triage, investigation, and remediation; coordinate cross-functional response; conduct forensic analysis; run tabletop exercises and after-action reviews; continuously improve detection and response
• Secure AI solutions from threats to data security, integrity, and misuse; implement model and prompt safety guardrails; evaluate enterprise and third-party AI tools; contribute to AI usage policies and governance
• Act as a security subject matter expert - educating, training, and mentoring others

Who You Are 

An ideal candidate would be representing the Altos Cybersecurity team in the San Francisco Bay Area, San Diego, or Cambridge, UK

Minimum Qualifications

• 7 years of experience in the technology space (at least 5 with a security focus)
• Comfortable collaborating with engineers, scientists, legal/compliance and IT professionals
• Proficient in on-premises and cloud security engineering, including Infrastructure as Code solutions.  Skilled in code security, secrets management, vulnerability scanning, and detection engineering.  
• Experience performing application and/or infrastructure design reviews to identify areas of improvement as well as recommending appropriate security controls. Ideal candidates would also follow through to ensure their recommendations are implemented.
• Expertise in managing security incidents, conducting detailed analysis of security events, and overseeing sensitive investigations related to cyber activities
• Bachelor’s degree in Computer Science, Cybersecurity, or related field
• Ability to work without supervision, ability to handle competing priorities.

Preferred Qualifications

• Experience working in a compliance oriented environment (healthcare, government, fintech, ISO, SOC, PCI, etc)
• Information security certifications (CISSP, GIAC, etc)
• Experience with AI risk assessment, red teaming of AI/LLM systems, and defenses against prompt injection, data exfiltration, and excessive agency

The salary range for Redwood City, CA:

• Senior Cybersecurity Engineer: $169,700 - $217,500
• Staff Cybersecurity Engineer: $196,800 - $252,300

The salary range for San Diego, CA:

• Senior Cybersecurity Engineer: $141,400 - $181,300
• Staff Cybersecurity Engineer: $169,700 - $217,500

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

What You Will Contribute To Altos

The Altos Institute of Medicine will capture knowledge generated about cell health and programming and develop transformative medicines. We are seeking an experienced Scientist, Formulation Development, to join the Technical Operations team within the Institute of Medicine for a six month contract. The candidate will work in a highly dynamic and cross-functional environment that will have close collaboration with the Institutes of Science and span multiple therapeutic areas. The successful candidate will perform formulation development for Altos’ small molecule and oligonucleotide programs.

Responsibilities

• Conduct formulation, process development and manufacturing for small molecule and oligonucleotide therapeutics, and support drug product development for other modalities
• Perform preformulation characterization and analytical testing to support drug product development
• Support development and manufacturing at Contract Development and Manufacturing Organizations (CDMOs) to deliver products for nonclinical studies and clinical trials 
• Perform troubleshooting and data analysis to solve technical problems in formulation development and manufacturing to ensure product quality
• Support risk assessments and manufacturing deviation investigations
• Author Standard Operating Procedures, specifications, regulatory filing, or other controlled documents as needed.
• Foster strong partnerships with Institutes of Science and development sciences
• Actively contribute to a team culture that promotes continuous improvement, ownership, professional growth, and inclusion

Who You Are 

Qualifications

• M.S. with 6+ years or Ph.D. with 2+ years of experience in the formulation, process development, and manufacturing of small molecule drug products, with a degree in chemistry, pharmaceutical sciences, chemical engineering, or a related field.
• Experience in preformulation characterization and analytical testing
• Experienced in achieving CMC deliverables through outsourcing to CDMOs is preferred
• Ability to work in a dynamic environment, with a willingness to learn new skills and adapt to shifting priorities and tasks
• A critical thinker with the ability to analyze possibilities and solutions and make pragmatic trade-offs, as well as a big-picture innovator who can identify opportunities and is comfortable with ambiguity
• Strong communication and collaboration skills. Build effective relationships and partnerships with internal and external stakeholders

The salary range for Redwood City, CA:

• Scientist I, Formulation Development: $61/hr. - $75/hr.
• Scientist II, Formulation Development: $72/hr. - $88/hr.

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

At Altos, your work will be at the heart of a mission to transform medicine by reversing disease and restoring cell health. You will contribute to the development of a new generation of drugs rooted in an advanced understanding of cellular rejuvenation and resilience. By designing and scaling sophisticated automated systems, you will enable our scientists to translate deep biological insights into tangible therapeutic candidates.

Your primary focus will be to support the automation of laboratory workflows within the Institute of Medicine (Discovery Pharmacology and Assay Sciences), ensuring that clinical-grade research moves with unprecedented speed and precision. In this role, you will also work closely to support the Discovery Sciences and Institute of Computation functions, serving as a vital link between target identification and computational modeling. Ultimately, your work will both drive the physical realization of therapies designed to reverse disease and embrace the exciting possibility of generating the high-dimensional data necessary to build the AI drug discovery tools of the future.

Responsibilities

• System Design & Integration: Lead the design and implementation of fully automated, end-to-end workflows (e.g., high-content imaging, NGS library prep, and automated cell culture maintenance, mRNA production, high-throughput screening).
• Workflow Optimization: Evaluate existing manual assays and transform them into robust, scalable automated processes.
• Software & Scheduling: Program and maintain liquid handling platforms (Hamilton, Tecan, or Beckmann) and integrated robotic workcells using scheduling software (e.g., HighRes Biosolutions Cellario, Biosero Green Button Go).
• Cross-Functional Collaboration: Work closely with the IoM’s biological leads to ensure that automated solutions meet the rigorous precision required for rejuvenation research.
• Data Integrity: Develop and implement automated data capture and LIMS (Laboratory Information Management System) integration to ensure seamless data flow from the robot to our AI/ML pipelines.
• Instrument Evaluation: Evaluate and recommend laboratory automation instruments for deploying to a production environment.
• Expert Programming: Write methods using various laboratory automation control software including Tecan EVOware, Beckman, Hamilton, Agilent/Bionex Vworks, Dynamic Devices MethodManager, Green Button GO, Plate Butler, Cellario Scheduler, and others.
• Integration & Installation: Work hands-on with the installation and integration of laboratory automation with a high level of attention to detail.
• Cross-Functional Collaboration: Collaborate with partners in other functions to ensure that new instruments and processes transition smoothly into a production environment.
• Vendor Relations: Collaborate, develop, and maintain relationships with external vendors to develop drivers, custom automation solutions, and enable Production support.
• Efficiency & Innovation: Contribute directly to the development of innovations that improve efficiency and reduce cost.
• Training & Mentorship: Provide instrument training to production end users.
• Lifecycle Management: Create a census of automation, its current usage, and develop and implement a plan for areas of retirement, growth, or re-deployment.
• Systems Stability: Handle the migration of lab/automation computers, including installing and integrating automation and devices as needed while testing to ensure lab stability.
• Governance: Create a system and culture of version control for automation scripts and thoroughness through documentation.
• Leadership: Potential to grow and manage a team of laboratory automation scientists in support of workflow automation across Altos.

Who You Are 

Altos seeks a candidate who possesses the following:

Minimum Qualifications

• Education: BS/MS/PhD in Engineering, Biochemistry, Molecular Biology, Cell Biology, Genetics or related field
• Experience: 8+ years in laboratory automation, specifically within a drug discovery or high-throughput production environment.
• Technical Breadth: Mastery across multiple software platforms (Hamilton Venus, Tecan, Cellario, etc.) and experience with 3rd-party driver development.
• LIMS Expertise: Proven track record of selecting or managing LIMS/informatics transitions.
• Problem Solver: A "hands-on" engineer who thrives on troubleshooting experiments for liquid handling, workflow complications and complex hardware/software interfaces.
• Strategic Thinker: Ability to manage the "big picture" of lab assets, from computer migrations to the long-term retirement and deployment of high-value robotics.
• Analytical: Ability to understand diverse and complex workflows on liquid- and plate- handling systems, including the sources and statistical assessment of unwarranted assay variance
• Collaboration: Ability to work both independently and collaborate effectively as part of an interdisciplinary team of scientists and engineers;
• Motivation: Self-driven individual motivated to book end projects requiring minimal supervision

Preferred Qualifications

• Knowledge of PCR, Sequencing, and other Molecular Biology techniques and skills as well as experience with high throughput automation systems designed for molecular biology or analytical applications
• Experience automating workflows for high-throughput RNA-seq, including transcriptional profiling, spatial and single-cell applications.
• Experience screening small molecules, siRNA and other modalities in in vitro and cell-based assays
• Experience automating workflows for high throughput production of mRNA, plasmids and functional genomic library assembly
• Experience automating workflows for NGS library preparation and other genomics applications

The salary range for Redwood City, CA:

• Senior Automation Engineer: $167,400 - $204,100

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

We’re looking for a Strategy & Operations Manager / Senior Manager to work directly with the Chief of Staff, Director to build the strategic planning and operational backbone for the Institute of Computation, which serves as the AI and data science organization at Altos Labs. The IoC develops and advances AI tools, models and technology to unravel the mechanisms behind aging to develop therapeutic ways to reverse it. This role sits at the intersection of strategy and business operations, technical program management, and product-minded thinking.

You’ll work closely with the Chief of Staff, SVP, engineering  and AI leaders, Director of Program Management, and our data and computing infrastructure teams to drive strategic projects often requiring both deep business judgement and technical understanding, own and improve key operational systems, and help serve as a connective tissue and partnership manager between AI research, engineering, data, portfolio management team, wetlab experimentation, People, Finance, Legal, and external partners. 

This is a great fit for someone with a technical program management, technical product management, consulting, strategy and operations or similar background who can just as easily get down to the weeds and roll their sleeves up to dive into problems, as well as can operate at the 10,000 foot level and think at a systems-level view and bridge between AI, engineering and the business. 

Responsibilities

• Strategic Initiatives & SVP / Leadership Support: Lead and/or support special projects that can cover a wide breadth of topics including data strategy, talent strategy, IP strategy and contribute to SVP/Leadership Team operations, potentially including facilitating Leadership Team meetings. 
• Strategic Planning: Help design and execute on IoC strategic planning and rhythm of business as part of the Office of the SVP and Institute Director of the IoC.
• Partnership Strategy & Alliance Management: Support partnership strategy development and act as a de‑facto alliance manager for key external platform and data generation partners in the AI and biotech landscape, ensuring clear goals, aligned timelines, regular check‑ins, and smooth coordination with internal teams.
• Budget & Resource Management: Own day‑to‑day budget operations for the org in partnership with Finance and the Chief of Staff, including tracking spend, forecasting, approvals, and AWS billing and cost reporting/optimization.
• Engineering Operations: Act as the technical program manager point person between our data science / modeling, wetlab experimentation, and our computing and data infrastructure engineering teams. This may include managing modeling team user experience, access, usage forecasting, managing requests, dependencies and prioritization for data generation or curation needs from the central Data Infrastructure teams, and migration/cutover planning and communications.
• Business Operations & Process Improvement: Analyze and improve core operational processes (e.g., AWS billing, central resourcing, intake/prioritization) using a structured, data‑driven approach and latest AI technologies to design lightweight, scalable workflows. 

Who You Are 

• Demonstrated experience leading cross-functional teams and driving strategic and cross‑functional projects end‑to‑end: developing strategies, aligning stakeholders, and rolling out initiatives. 
• Strategic and analytical thinker with strong problem-solving abilities and ability to navigate white-space problems, complex organizations, and ambiguous settings to drive buy-in. 
• Results-driven and detail-oriented with a proactive approach.
• Combination of grit and intellectual curiosity that enables you to dig into messy, complex problems and recommend solutions that bring simplicity 
• Understands how to think backwards from first principles, but also has operated in environments where they can bring best practices 
• Growth-oriented and eager to learn in a fast-paced environment.
• Operational excellence at the 1-foot and 50K foot levels

Minimum Qualifications

• 4-7 years of experience (for Manager) and 7+ years of experience (for Senior Manager) in any of the following: technical program management, technical product management, technical / product operations, strategy & operations, management consulting, or similar role
• Familiarity operating in a product or software engineering organization 
• Demonstrated ability to work credibly with engineers, data scientists, and/or ML researchers 
• Excellent communication and stakeholder management skills: can tailor level of detail from SVP to IC.
• Comfortable giving structure to ambiguous problems and pushing for clarity
• Strong operational and analytical skills, cross-functional stakeholder engagement and relationship building 

Preferred Qualifications

• Familiarity operating within an AI / ML or data science organization and/or highly technical R&D environment (e.g., biotech with strong computational components).
• No prior direct modeling experience needed, but needs to understand the concepts well enough to translate between technical and non‑technical stakeholders and shape initiatives involving complex AI or technical concepts. 
• Direct experience of close partnership or managing teams of AI / ML scientists and engineers or software engineers and experience with Agile 
• Experience working in fast-paced startup, MBA or technology companies

The salary range for the Redwood City, CA site:

• Strategy & Operations Manager: $74 - $90 / hr.
• Senior Strategy & Operations Manager: $91 - $111 / hr.

The salary range for the San Diego, CA site:

• Strategy & Operations Manager: $66 - $80 / hr.
• Strategy & Operations Manager: $83 - $101 / hr.

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

The Altos Institute of Medicine will capture knowledge generated about cell health and programming and develop transformative medicines. We are seeking a highly experienced analytical and QC leader to join the Technical Operations team as the Head of Analytical Development and Quality Control. The candidate will work in a highly dynamic and cross-functional environment that will have close collaboration with the Institutes of Science and span multiple therapeutic areas. The successful candidate will lead analytical development and quality control for Altos programs. Modalities include protein and antibody therapeutics, small molecules, antisense oligonucleotides, mRNA and AAV gene therapy.

Responsibilities

• Lead analytical development and quality control across multiple modalities
• Build a high performing team and establish internal and external analytical and QC capabilities
• Serve as CMC lead and analytical lead for Altos therapeutic programs
• Manage contract manufacturing organizations and CROs to develop and qualify analytical testing methods, perform product characterization, release and stability testing, and in-process testing
• Establish product specifications to ensure product quality. Support technical assessment of Out of Specification and Non-Conforming investigations.
• Author, review, and/or approve Standard Operating Procedures, specifications, regulatory filing, or other controlled documents
• As a member of the Tech Ops leadership team, build the Tech Ops organization, processes, systems and infrastructure
• Create and foster strong partnerships with Institutes of Science, Institutes of Technology, Institute of Computation, drug discovery and development sciences, clinical, regulatory, program management, business development, legal and finance
• Actively contribute to a team culture that promotes continuous improvement, accountability, professional growth, and inclusion

Who You Are 

Qualifications

• Ph.D. in analytical sciences or biological sciences. Minimum 15+ years of analytical development and QC experience in biotech/pharmaceutical industry. 10+ years of Management experience.
• Highly experienced in developing and implementing assays for Quality Control testing and characterization of drug substance, drug product and manufacturing in-process samples
• Experienced in multiple modalities including biologics, oligonucleotides, small molecules, mRNA/LNP and AAV gene therapy. 
• Experienced in leading CMC team and analytical subteam
• Proficient in cGMP’s and pharmaceutical industry procedures and regulations
• Highly experienced in achieving CMC deliverables through outsourcing to Contract Manufacturing Organizations. Leadership experience in managing diverse project activities with contract CDMO facilities at global locations
• A critical thinker with the ability to analyze possibilities and solutions and make pragmatic trade-offs, as well as a big-picture innovator who can identify opportunities and is comfortable with ambiguity
• Strong communication and collaboration skills. Clear and influential communicator. Build effective relationships and partnerships with internal and external stakeholders
• Proven capability to lead, motivate and inspire in a diverse, global, cross-functional structure and commit to diversity, equity, and belonging.

The salary range for Redwood City, CA:

• Senior Director, Analytical Development: $283,900 - $384,100

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.