Find your dream job now

About Micro1: Job Title: Molecular BiologistJob Type: ContractLocation: RemoteJob Summary:Join our customer's team as a Molecular Biologist, specializing in CRISPR and gene editing, to advance cutting-edge projects and contribute to AI training initiatives. You will leverage your expertise to design, execute, and optimize molecular biology workflows, supporting innovative research and development efforts.Key Responsibilities:Lead the design, optimization, and execution of CRISPR-based gene editing experiments.Develop and implement cloning strategies to generate novel constructs and cell lines.Perform genotyping, PCR-based assays, and sequence analyses to validate genetic modifications.Design synthetic DNA/RNA sequences and contribute to screening logic for high-throughput workflows.Collaborate with interdisciplinary teams to translate experimental data into structured formats for AI model training.Apply molecular biology techniques to study and characterize molecules, organelles, and cellular organization.Document experimental procedures and results with exceptional clarity and precision, supporting reproducibility and knowledge transfer.Required Skills and Qualifications:Expertise in CRISPR technology and gene editing workflows.Extensive hands-on experience with cloning, genotyping, and PCR-based assays.Strong background in sequence design and molecular screening strategies.Excellent written and verbal communication skills, with keen attention to scientific detail.Ability to research and analyze molecular and organelle functions within cells.Demonstrated commitment to data accuracy, workflow optimization, and experimental rigor.Self-driven and collaborative, with a track record of contributing to high-impact research projects.Bachelor’s degree or higher in Molecular Biology, Biology, or a related field.Preferred Qualifications:Experience with the development or evaluation of rubrics, especially for AI and data annotation workflows.Familiarity with designing datasets or protocols for AI training and human review processes.Previous collaboration with interdisciplinary or remote teams on data-driven biology projects.

About Micro1: Job Title: Cell BiologistJob Type: ContractLocation: RemoteJob Summary:Join our customer's team as an expert Cell Biologist, where your insights into Experimental Systems and cellular mechanisms will help power cutting-edge AI training. You will leverage your expertise in mammalian cell culture, transfection methods, and clonal isolation to drive meaningful breakthroughs in understanding experimental variability and biological systems.Key Responsibilities:Design and execute experiments using mammalian cell culture and transfection techniques.Isolate and establish clonal cell lines and monitor cellular phenotypes.Study the structure, organization, and function of cells and organelles.Assess and document sources of experimental variability across different model systems.Develop and optimize experimental protocols for reproducibility and scalability.Collaborate closely with AI training teams to translate biological insights into high-quality datasets.Communicate scientific findings clearly through well-structured written and verbal reports.Required Skills and Qualifications:Bachelor’s degree or higher in Biology, Cell Biology, or a related scientific discipline.Minimum 1 year of hands-on laboratory experience with mammalian cell culture.Proficiency in transfection methods and clonal isolation techniques.Expert understanding of experimental systems and variability across biological models.Strong written and verbal communication skills, with an emphasis on clarity and detail.High level of organizational and critical thinking abilities.Ability to work independently and remotely with a cross-functional team.Preferred Qualifications:Experience with rubcris or similar gene editing platforms.Previous involvement with projects for AI training or data labeling.Advanced degree (MS or PhD) in a relevant field.

About Micro1: Job Title: Computational Biology & Genomics AnalystJob Type: ContractorLocation: RemoteJob Summary:Join our customer's team as a Computational Biology & Genomics Analyst, leveraging your expertise to review rubrics and ensure analytical rigor in genomics data analysis. You will play a pivotal role in evaluating and interpreting complex biological datasets, supporting cutting-edge research and experimental design. This expert-level, remote position offers the opportunity to shape the standards for bioinformatics and genomics workflows.Key Responsibilities:Review and assess analytical rubrics for computational genomics projects, ensuring they meet scientific and operational standards.Evaluate sequence alignment strategies and assess the effectiveness of CRISPR design tools.Interpret and synthesize results from integrated sequence and experimental datasets.Collaborate with multidisciplinary teams to recommend data-driven improvements and best practices.Document findings and provide clear, actionable written feedback to stakeholders.Contribute to the development of guidelines and standards for sequence analysis and data integration.Stay abreast of advances in computational biology, genomics, and associated data technologies.Required Skills and Qualifications:Expertise in sequence alignment techniques and familiarity with tools for CRISPR design.Proven experience interpreting large-scale genomics and experimental data.Strong proficiency with platforms that integrate sequence and experimental datasets.Exceptional written and verbal communication skills, with attention to clarity and detail.Demonstrated experience as a rubric reviewer or in a related quality assurance capacity.Ability to work independently in a remote, fast-paced environment.Advanced degree in computational biology, bioinformatics, genomics, or a related field.Preferred Qualifications:Experience with designing or evaluating novel CRISPR-based experiments.Track record of contributing to bioinformatics pipeline development or standardization initiatives.Familiarity with regulatory or quality frameworks in genomics research.

About Micro1: Job Title: R&D Systems & Lab Operations SpecialistJob Type: ContractorLocation: RemoteJob Summary: Join our customer's team as a R&D Systems & Lab Operations Specialist and play a pivotal role in shaping the future of digital laboratory environments. In this expert-level, remote role, you will review, structure, and enhance rubrics to ensure lab protocols translate seamlessly into trackable, auditable workflows, supporting high-impact research and operational excellence.Key Responsibilities:Review and refine rubrics to validate the accuracy and usability of laboratory processes within electronic lab environments.Translate experimental protocols into structured workflows using Electronic Lab Notebooks (ELNs) and Laboratory Information Management Systems (LIMS).Assess and enhance the clarity of documentation to ensure written protocols are actionable, logical, and ready for digital adoption.Collaborate with cross-functional teams to identify workflow improvements and ensure realistic QA pairs that mirror everyday lab operations.Monitor and track protocol execution, providing feedback to ensure compliance with best practices in digital lab management.Champion quality assurance by identifying gaps, inconsistencies, and opportunities for automation in lab processes.Serve as a key contributor to the development of scalable and reproducible lab data management strategies.Required Skills and Qualifications:Proven expertise with ELNs and LIMS, including workflow design and system configuration.Exceptional written and verbal communication skills to convey complex information clearly across diverse audiences.Strong analytical mindset and attention to detail in the review and optimization of digital lab processes.Experience translating laboratory protocols into structured, digital formats with robust traceability.Solid understanding of quality assurance principles in R&D settings.Ability to work independently and as part of a remote, expert-driven team.Demonstrated experience developing or reviewing rubrics for laboratory or scientific operations.Preferred Qualifications:Advanced degree in life sciences, chemistry, engineering, or related discipline.Familiarity with automated data capture and digital transformation initiatives in laboratory environments.Previous experience as a reviewer or validator in a digital lab setting.

About Micro1: Job DescriptionJob Title: Member of Technical Staff (Enterprise AI)Job Type: Full-timeLocation: RemoteThe RoleAs a Member of Technical Staff, you will function as a forward-deployed research partner embedded directly within enterprise AI systems. You will work on live workflows, uncover real-world failure modes, and drive rapid experimental cycles to improve system performance.What You’ll DoEmbed within enterprise AI workflows as a research collaborator, working alongside domain experts and client teams.Surface, formalize, and prioritize system failure modes in real-world deployments.Design high-signal datasets and evaluation protocols to target identified weaknesses.Run tight experimental loops to validate hypotheses and quantify improvements.Produce clear, decision-oriented analyses of system behavior and performance.Develop and benchmark agentic workflows, focusing on robustness and scalability.Build lightweight tooling to support evaluation, data curation, and rapid iteration.Contribute to internal and external research artifacts, including reports and benchmarks.Who You AreMaster’s degree in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field.Strong judgment for research signal quality, including data selection and evaluation design.Experience designing datasets and evaluation frameworks for ML systems.Ability to translate ambiguous operational issues into structured research problems.Familiarity with RL environments and/or agentic system evaluation.Clear, concise communicator with a bias toward actionable insight.Proven ability to execute in fast iteration cycles and high-ambiguity settings.Collaborative mindset with experience working across research, product, and domain teams.PreferredStrong client-facing experience, particularly in technical or research-driven environments.Experience building internal research or evaluation tooling.Contributions to benchmarks, research publications, or open research initiatives.Exposure to enterprise AI deployments or forward-deployed research models.