Demo

Scientist

Aditi Consulting
San Francisco, CA Contractor
POSTED ON 4/15/2026
AVAILABLE BEFORE 5/14/2026

Payrate: $40.00 - $41.00/hr.
 
Summary:
The ideal candidate is a recent PhD graduate in Biochemistry, Chemical Biology, Molecular Biology, or a related field, with strong quantitative and analytical skills and a demonstrated ability to quickly learn and adapt in a laboratory environment. This role is best suited for early-career scientists (0-2 years of postdoctoral or industry experience) who bring a solid foundation in scientific reasoning and data analysis, rather than extensive prior industry experience. The hiring team is seeking a highly adaptable and trainable individual who can be developed in-house on specific assay development techniques, particularly within cellular target engagement workflows. Candidates should be comfortable working hands-on in a lab setting, interpreting experimental data, and contributing to assay development efforts, while being open to learning new methodologies and aligning with established team processes.
 
Responsibilities:
  • Develop and optimize bioassays to ensure successful implementation and routine execution, supporting high-throughput screening (HTS), hit characterization & assessment, lead optimization, and mechanism-of-action (MOA) studies.
  • Design and conduct laboratory experiments, generate and interpret data to facilitate the development of assays and evaluate therapeutic agents.
  • Learn, apply, and integrate automation solutions during assay development, MOA studies, data analysis, and reporting processes.
  • Design, optimize, and implement workflows for cell line generation to enable the development of cell-based assay for screening and/or lead optimization.
  • Plan and execute experiments semi-independently and adapt readily to evolving project needs.
  • Identify, evaluate, and implement Client methods and techniques to develop robust bioassays, generating reliable and reproducible data efficiently.
  • Stay current with the latest scientific literature and actively contribute to the interpretation of results.
  • Preferred Qualifications
  • Experience in collaborative work within a multi-disciplinary team in a biopharmaceutical environment.
  • Strong scientific foundation in understanding and implementing various bioassays and readouts, including TR-FRET, BRET, Alpha, MSD, HCS, luminescence, and fluorescence.
  • Expertise in the development and implementation of target engagement (TE), activity, functional, and phenotypic, and protein interaction (PPI) assays to assess therapeutic agents, including thermal shift assay (TSA), probe displacement, second messenger, ion flux, reporter, protein stability, PPI (NanoBiT, NanoBRET, etc.), immunoassays, gene activation, and cellular imaging.
  • Extensive experience in the functional and phenotypic characterization of engineered cells with analytical techniques, including DNA sequencing, RT-qPCR, and Western Blots.
  • Experience in a variety of bioassays on more physiologically relevant cellular models such as iPSCs, 3D-culture, co-culture, and primary cells.
  • Competence in setting up and operating multimode plate readers (e.g., PHERAstar, CLARIOstar, FLIPR, EnVision) and automated liquid handlers (e.g., Echo, Dragonfly, Multidrop Combi, Bravo, BioTek Plate Washer, BlueWasher) for the development of 384- and/or 1536-well microtiter plate assays.
  • Familiarity with software and statistical platforms necessary for analyzing large data sets, including Screener and Spotfire.
 
Must Have Skills:
  • Quantitative Biology
  • Analytical Reasoning
  • High Adaptability

Pay Transparency: The typical base pay for this role across the U.S. is: $40.00 - $41.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, denmatch, lifeion benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match,  life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law. 
 
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recruiter. AI is used solely to gather data and does not replace human-based decision-making in employment decisions.  Calls may be recorded.
 
Consent is not a condition of purchasing any property, goods, or services. You may revoke your consent at any time by replying “STOP” to messages or by contacting privacy@aditiconsulting.com.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy .
 
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Salary : $40 - $41

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