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Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Biotechnology Research Expert Type: Contract Compensation: $1,150–$1,450 per completed task Location: Remote Role Responsibilities • Review and evaluate AI-generated outputs related to experimental design, genomic data analysis, protein characterization, and biotech research methodologies., • Create realistic scenarios based on laboratory and research workflows such as gene expression analysis, CRISPR experimental protocols, and proteomics data interpretation., • Annotate, label, and validate data across biotech research use cases, including sequencing pipeline accuracy and molecular target identification., • Provide structured feedback on AI accuracy in molecular biology techniques, genomics and proteomics standards, and regulatory guidelines., • Collaborate asynchronously with research teams to refine evaluation frameworks for biotechnology research AI. Qualifications Must-Have • 3+ years of professional or postdoctoral research experience in biotechnology, genomics, proteomics, or molecular biology., • Background in genomics and next-generation sequencing (NGS), proteomics, molecular biology, or drug discovery., • Advanced degree (MS, PhD) in a relevant life sciences field strongly preferred., • Professional experience at a biotech company, CRO, academic research lab, or pharmaceutical R&D organization., • Strong analytical thinking and ability to translate complex research workflows into structured evaluation tasks., • Clear written communication and attention to detail. Compensation & Legal • Task Completion Pay: Competitive and based on task quality., • Performance Bonus: Top performers receive a weekly bonus incentive., • Hourly Opportunity: Top performers may transition to an hourly compensation model. Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Biology Research Scientist (BA, MS, PhD's) Type: Contract Compensation: $50–$70/hour Location: Remote Duration: 1–2 month minimum, extension likely Commitment: 10–20 hours/week Role Responsibilities • Access primary sources such as papers and patents to verify protein target assignments against UniProt records., • Flag and classify target assignment errors using a structured taxonomy to ensure data accuracy., • Propose correct UniProt accessions where assignments are incorrect to enhance database reliability., • Write concise, evidence-grounded notes explaining your reasoning to support AI drug discovery pipelines., • Work independently and asynchronously to meet deadlines and improve data integrity. Qualifications Must-Have • BA/BS with 5+ years, MS with 2+ years, or PhD with industry or drug discovery research experience in pharmacology, biochemistry, molecular biology, or chemical biology., • Hands-on binding or functional assay experience (SPR, TR-FRET, radioligand binding, kinase assays, GPCR functional assays, IC50/Ki/KD)., • Currently bench-active in a research, scientist, or associate scientist role., • Working fluency with UniProt or adjacent workflows: SAR support, HTS, target validation, biochemical profiling, or IND-enabling studies. Preferred • Direct experience with ChEMBL, BindingDB, or PubChem., • Selectivity profiling or counterscreening experience., • Familiarity with agonist/antagonist vs. activator/inhibitor distinctions. Start Date • Immediate start Application Process (Takes 20–30 mins to complete) • Upload resume, • AI interview based on your resume, • Submit form Resources & Support • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome, • For any help or support, reach out to: support@mercor.com PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.

Job Description Neion Bio is harnessing nature’s best molecular factory, the chicken egg, to make medicine affordable, accessible, and resilient. Using cutting edge genetic engineering and stem cell technology, we create “living bioreactors”, which act as fully autonomous 3D biomolecular printers, operating on existing industrial-scale infrastructure. Our platform can rapidly and scalably produce almost any protein, provide national resilience to drug shortages and de-risk complex supply chains, and ultimately take advantage of novel biological environments to solve unmet medical needs. We are on a mission to reimagine the way in which complex biological molecules are produced to transform human health. At Neion Bio you will play a pivotal role in an early-stage, fast-growing company, working alongside leading scientists and entrepreneurs. You will have the opportunity to participate in the enormous potential upside while having a huge impact on the world. We are looking for a talented molecular biologist on the RA, SRA or scientist level experienced with the engineering, production and purification of viral vectors, including lentivirus, adenovirus and AAV. Key Responsibilities: • Perform cloning of large viral genomes, design and run PCR, qPCR, RT-PCR assays to quantify viral transgene and transcription, • Perform transfections on primary cells, immortalized cells, and animal tissues, • Design, manufacture, purify, characterize, validate and test a range of viral vectors, at small and large scale, • Assess efficiency of workflows through cellular assays and NGS sequencing approaches, • Extract DNA, RNA, protein from animal tissue, • Conduct experiments and work on research problems, • Maintain excellent electronic laboratory records, • Work on project milestones, • Attend lab meetings, prepare reports and presentations on the progress of projects Requirements • BA/MS/PhD in biological sciences, bioengineering, molecular biology, genetics, or any science related field, or equivalent experience, • Experience with cloning, transfecting, producing, purifying, characterizing, validating and testing of a range of viral vectors including adenovirus, lentivirus, AAV, • Experience with ultracentrifugation for viral purification, • Experience with resin and column based viral purification methods, • Strong aseptic techniques and GLP procedures, • Experience in genome engineering, cloning, DNA amplification, PCR, NGS, transfections, and other molecular biology skills, • Exceptional organizational skills with the ability to effectively manage time and priorities, • Strong written and oral communication skills, as well as creative problem-solving skills, • Curious, eager, and hardworking Preferred qualifications: • Experience with viral capsid engineering by rational design or directed evolution, • Extensive experience with and knowledge of adenoviral vectors, • Experience with viral capsid library engineering Benefits Compensation: base salary is expected to be $90-130K depending on experience, with additional bonus compensation, equity compensation, and benefits including health insurance, dental insurance, vision insurance, and 401(k).

Valo Health is a human-centric, AI-enabled biotechnology company working to make new drugs for patients faster. The company’s Opal Computational Platform transforms drug discovery and development through a unique combination of real-world data, AI, human translational models and predictive chemistry. Our talented team of biologists, chemists and engineers, armed with advanced AI/ML tools, work together to break down traditional R&D silos and accelerate the speed and scale of drug discovery and development. Valo is committed to hiring diverse talent, prioritizing growth and development, fostering an inclusive environment, and creating opportunities to bring together a group of different experiences, backgrounds, and voices to work together. We embrace new ways of learning, solve complex problems and welcome diverse perspectives that can help us advance patient-centric innovation. Valo is headquartered in Lexington, MA, with additional offices in New York, NY and Tel Aviv, Israel. To learn more, visit _. About the Role We are seeking an exceptional Staff Computational Biologist to drive the next generation of software and data products supporting Target Identification and Prioritization across our research organization. This hybrid role is ideal for someone who thrives at the intersection of biology, computation, product strategy, and engineering execution. As a senior member of the Translational Platform Engineering team, you will act as a product owner, technical strategist, and rapid prototyper, responsible for shaping the roadmap and delivering tools that power discovery teams. Your day to day includes working with biology data scientists to harden their notebooks and workflows, pushing new releases to production (on a predictable schedule), and sitting with biologists and chemists as they use the UIs to advance our translational biology efforts. The Staff Computational Biologist is the key to translating use cases into technical specifications for engineering teams. This is a highly visible and impactful role where you will contribute to a human-biology-first approach to drug discovery programs by leading the end-to-end lifecycle of platform capabilities used daily by our Target ID scientists. What You’ll Do… • Own the product roadmap for Target ID software., • Gather and prioritize scientific requirements from internal users., • Translate use cases into technical specifications for engineering teams., • Rapidly prototype computational solutions using Python., • Develop and maintain internal packages, reproducible workflows, and APIs., • Establish documentation, onboarding materials, and best practices for internal platform usage., • Lead cross-functional project execution (data engineering, software engineering)., • Follow good engineering practices (i.e. CI/CD, predictable demo cadence, etc.) What You Bring... • Bachelor's/ Master's degree in relevant field (computational biology, bioinformatics, systems biology, computer science) or equivalent relevant education and experience, • 6+ years industry experience in computational biology or data-driven discovery; minimum 1 years’ experience in software engineering and data engineering teams, • Proficiency working with programming languages Python, and R, modern development frameworks and developing internal packages, • Experience with omics/translational data analysis, scalable ETL pipelines, data modeling, and associated QC, • 1+ years’ experience leading complex projects as product owner, • Experience supporting target identification, prioritization, or multi-modal analysis. Nice to have... • Experience with dashboard development (e.g. Shiny, Dash, Streamlit, React, Veu.js)., • Understanding of cloud-native tools and modern data platforms (AWS/GCP/Azure)., • Familiarity with the drug discovery and development process is a plus Remote Salary Range $165,750 - $195,000 USD CA Salary Range $195,585 - $230,100 USD Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Valo Health currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Valo Health's good faith estimate as of the date of publication and may be modified in the future. Please note: At this time, we are only able to consider candidates who currently have permanent US work authorization without the need for immediate or future sponsorship.

About Mercor’s talent network** Join our Biologist Expert Network to connect with leading AI labs and companies seeking your expertise. By applying, you're joining our Biologist talent network.

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