senior research scientist

Waymo

<div><p>MOUNTAIN VIEW, CALIFORNIA, UNITED STATES | SAN FRANCISCO, CALIFORNIA, UNITED STATES</p>
<p>FULL-TIME</p>
<p>AI FOUNDATIONS</p>
<p>4717</p></div>
<br><div></div><div><div><div><div><div><div>Add to favorites
</div></div> <div></div><div>View favorites
</div>
</div><div><div><p>Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver&mdash;The World's Most Experienced Driver&trade;&mdash;to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo&rsquo;s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p><i>
The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.</i></p>
<p>
This role follows a hybrid work schedule and reports to a <b><i>Staff Research Scientist / Tech Lead Manager</i></b><b>.</b></p>
<p><b>
You will:</b></p>
<ul>
<li>Design and implement generative world action modeling solutions to simulate future world states / observations and generate policies for embodied agents (autonomous vehicles).</li>
<li>Develop and maintain scalable data pipelines to process data from multiple sources.</li>
<li>Design and implement evaluation strategies for world action models.</li>
<li>Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc.</li>
<li>Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical blog posts, technical reports and/or publications.</li>
<li>Collaborate inclusively across Waymo/Alphabet to apply developed techniques to Waymo products.</li>
</ul>
<p><b>You have:</b></p>
<ul>
<li>PhD degree in Computer Science or a similar discipline, or an equivalent amount of deep learning research experience, with 5+ years of experience with Deep Learning and Generative Models.</li>
<li>Strong coding skills in Python and strong familiarity with major ML Frameworks (JAX, Tensorflow, Pytorch).</li>
<li>Strong familiarity with AI tools in day to day work.</li>
<li>Experience in large-scale distributed training and different forms of parallelism.</li>
<li>Experience in generative models for domains such as world models, images, videaos, 3D, human animation, traffic, and/or simulation, using techniques such as diffusion and/or autoregressive models.</li>
</ul>
<p><b>We prefer:</b></p>
<ul>
<li>Publications at top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc.</li>
<li>Substantial involvement in and contributions to high impact industry AI projects.</li>
<li>First-hand experience in, and direct contributions to training large world models / world-action models.</li>
<li>Familiarity with Reinforcement Learning in simulation environments.</li>
</ul><div><div>
<div><p>The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.</p>
<p>
Waymo employees are also eligible to participate in Waymo&rsquo;s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.</p>
</div>
<div>Salary Range</div>
<div>$213,000&mdash;$263,000 USD</div></div></div></div></div></div></div>

Senior Research Scientist, World Modeling

Behaivior

<p><b>Area</b></p><p>Behaivior is an award-winning digital health company dedicated to delivering evidence-based, accessible mental health and substance use recovery support. We leverage AI, wearables, and behavioral health technology to close critical care gaps and prevent crises, shifting behavioral health care from reactive to proactive. Our mission is to transform mental health and addiction recovery with predictive, personalized, and accessible care, while reducing the burdens faced by care providers and teams through our innovative software and AI-driven solutions.</p><p>We have an exciting opportunity for a senior data scientist with a Ph.D. and optional software development skills to join an innovative, mission-driven team.</p><p><b>Role</b></p><p>Behaivior is seeking a senior data scientist with a Ph.D. for a part-time contract position with flexible hours, an adaptable schedule, and the potential for expanded involvement. As a senior data scientist with a focus on AI/ML, you&rsquo;ll help shape the direction of the platform to better serve our customers. While not required, experience in software development is preferred. Your expertise, guidance, and oversight in AI/ML will drive Behaivior&rsquo;s technical team forward. Your ability to make quick, informed decisions will be essential to supporting our data engineering and software growth, as well as the ongoing evolution of products that help care for others. You will work across a range of commercial, clinical, research, and other technical initiatives. You will also provide technical research writing support and serve as one of the primary liaisons for team members seeking technical research assistance. Work ethic and professionalism in this role are essential to meeting critical timelines that support the company&rsquo;s continued growth.</p><p><b>Duties</b></p><p>* Lead the end-to-end development and deployment of machine learning models, focusing particularly on time series data</p><p>* Implement robust ML Ops practices, including version control, automated testing, and continuous integration/delivery (CI/CD) for ML projects</p><p>* Develop and implement monitoring and alerting systems to ensure the health and performance of deployed machine learning models</p><p>* Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions</p><p>* Architect and implement scalable and efficient solutions on Google Cloud Platform (GCP)</p><p>* Mentor and guide interns participating in our intern program, fostering a culture of continuous learning and growth</p><p>* Stay updated with the latest advancements in AI and GCP technologies to drive innovation within the team</p><p>* Assist with technical writing and research for grants, publications, white papers, and business planning</p><p>* Understand the vision of our complex technology ecosystem</p><p>* Depending on experience, contribute to software development for Behaivior&rsquo;s mobile and web application</p><p><b>Required Qualifications:</b></p><p>* Ph.D. in Data Science, Computer Science, Engineering, or a related field</p><p>* Proven experience in deploying machine learning models to production environments</p><p>* Expertise in Google Cloud Platform, including hands-on experience with GCP services</p><p>* Strong programming skills in Python</p><p>* Solid understanding of and experience with applied machine-learning concepts and frameworks</p><p>* Expert in applied machine learning development and MLOps practices</p><p>* Understanding of cloud (GCP) infrastructure</p><p>* Generally be able to learn on the fly</p><p>* Comfortable with shifting tasks to meet deadlines</p><p>* Applicants must be U.S. citizens residing and working within the United States due to position-specific requirements</p><p><b>Preferred Qualifications:</b></p><p>* Experience collaborating with product, engineering, UX, and research team members</p><p>* Experience in the healthcare industry and working in a HIPAA-compliant environment</p><p>* Knowledge of DevOps practices for ML model deployment</p><p>* Familiarity with automated testing and continuous integration for machine learning projects</p><p>* Experience publishing/presenting research</p><p>* Extensive R&amp;D background</p><p>* Grant writing experience</p><p>* Entrepreneurial and leadership experience</p><p>* Patent development experience</p><p><b>Desired Qualifications:</b></p><p>* Proficiency or experience in software development</p><p>* Experience in working with wearable or IoT devices and APIs</p><p>* Experience in database design and development</p><p>* Experience in software tools for Mobile</p><p>* Experience in API development and usage, JavaScript, HTML, CSS, and Mobile (Responsive) development ideologies</p><p>* Familiarity with ReactJS, React Query, Typescript, Firebase, and Cordova.</p><p>Please provide at least 2 references with full names, phone numbers, and email addresses.</p><p>Behaivior provides equal employment opportunities to all team members and applicants and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.</p><p><b>Job Type:</b></p><ul><li>Part-time contract. Equity options available. The contract type and details may be flexible for the right candidate, with potential for additional opportunities and expanded involvement.</li></ul><p><b>Schedule:</b></p><ul><li>Up to 80 hours per month</li></ul><p>Benefits:</p><ul><li>Flexible schedule</li><li>Professional development assistance</li></ul><p>Application Question(s):</p><ul><li>This position requires a completed or in-progress Ph.D. in a relevant field. Do you currently hold a Ph.D. or are you actively pursuing one?</li></ul><p>Work Location: Remote</p>

Senior Data Scientist

Charterhouse Middle East

<div>
 <p>
  <strong>
   Market Leading Salary, Plus Family Benefits/Perks, Plus Bonus
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Charterhouse is partnered with a global family office seeking to strengthen its Investment Technology Division. This division is responsible for developing analytical platforms, data-driven tools, and technology-enabled capabilities that support investment teams, operational functions, and enterprise wide strategic decision making. With a remit that spans across Data Science, Engineering, Quantitative Research, and Product Development, the division plays a pivotal role in evolving the organisation&rsquo;s digital and analytical landscape. This current opening is for a Senior AI Scientist who will be a key contributor to the organisation&rsquo;s data and product initiatives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior AI Scientist will help lead data driven initiatives, guiding the design and execution of data workflows that meet strategic business objectives. The role focuses on providing technical leadership across data analysis, developing resilient pipelines for model training, tracking model performance, and managing data platforms. The role will have strong expertise in leveraging LLMs and applying prompt engineering techniques to elevate insights and improve model outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our client is looking for ideal candidate with the following qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s or Ph.D. in Data Science, Computer Science, Statistics, or a closely related discipline.
  </li>
  <li>
   Experience working with LLM technologies, including pre-training, supervised fine-tuning (SFT), reinforcement learning (RL), and agent-based frameworks.
  </li>
  <li>
   Solid understanding of natural language processing (NLP) methods and algorithms.
  </li>
  <li>
   Industry experience in sectors such as healthcare, finance, or e‑commerce is an advantage.
  </li>
  <li>
   Contributions to open‑source projects, academic research, or relevant publications that showcase technical expertise and thought leadership are highly regarded.
  </li>
  <li>
   Hands‑on experience fine‑tuning and deploying LLMs, with an emphasis on optimizing models for specific applications.
  </li>
  <li>
   Proficiency with AI development frameworks such as PyTorch, DeepSpeed, and Hugging Face Transformers.
  </li>
  <li>
   Strong capabilities in prompt engineering and enhancing LLM performance through algorithmic improvements.
  </li>
  <li>
   Proven problem‑solving skills, particularly in applying LLMs to real‑world use cases.
  </li>
  <li>
   Ability to excel in a collaborative, fast‑moving environment and deliver meaningful AI-driven outcomes.
  </li>
  <li>
   Excellent English communication skills are essential.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   *Please note this role offers relocation assistance for talented candidates based outside the region*
  </em>
 </p>
</div>


Senior AI Scientist

KAUST (King Abdullah University of Science and Technology)

<div>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Staff Scientist in the Viral Vector Facility (VVF) plays a central role in supporting the strategic goals of the Bio-Medical platform. The Scientist in the VVF will design, produce, and deliver high-quality viral vectors (e.g., AAVs and Lentivirus) to support cutting-edge research at KAUST and in the region. The scientist will optimize and scale production workflows, improve vector performance and cost-efficiency, and ensure strict quality and biosafety standards. We are seeking a highly skilled molecular biologist with expertise in viral vector engineering and production, who can translate complex experimental needs into tailored genetic tools and drive innovation in vector design and delivery. The scientist will collaborate closely with researchers, supervise technical staff, and provide advanced training in molecular genetics and viral vector technologies, helping position KAUST as a regional hub for state-of-the-art viral vector solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Scientific Collaboration:
   </strong>
   Collaborate with researchers to identify appropriate viral vector systems that address key scientific questions, supporting high-impact research and publications.
  </li>
  <li>
   <strong>
    Viral Vector Production:
   </strong>
   Produce high-quality, safe, and effective viral vectors tailored to experimental needs and cell-based research applications.
  </li>
  <li>
   <strong>
    Staff &amp; Operations Management:
   </strong>
   Supervise and mentor a laboratory technician; manage daily tasks to ensure timely and high-quality work deliverables.
  </li>
  <li>
   <strong>
    Project management:
   </strong>
   Coordinate multiple research projects and timelines to ensure milestones and deliverables are met on schedule.
  </li>
  <li>
   <strong>
    SOP Development &amp; Maintenance:
   </strong>
   Develop, implement, and enforce standard operating procedures (SOPs) to ensure efficiency, reproducibility, and compliance in viral vector production.
  </li>
  <li>
   <strong>
    Laboratory Safety &amp; Compliance:
   </strong>
   Ensure Good Laboratory Practice (GLP) and maintain a safe working environment in accordance with biosafety regulations and Institutional Biosafety and Ethics Committee (IBEC) guidelines.
  </li>
  <li>
   <strong>
    Data Integration &amp; Collaboration:
   </strong>
   Integrate laboratory data into the Bio-Medical Platform and collaborate with IT and bioinformatics teams for effective data management, analysis, and reporting.
  </li>
  <li>
   <strong>
    Process Innovation:
   </strong>
   Design and implement new or improved techniques and workflows to address scientific challenges, enhance viral vector performance and throughput, and reduce production costs.
  </li>
  <li>
   <strong>
    Training &amp; Knowledge Development:
   </strong>
   Provide advanced training in viral vector production and contribute to building technical expertise among staff.
  </li>
  <li>
   <strong>
    General Laboratory Duties:
   </strong>
   Conduct routine laboratory responsibilities, including procurement, documentation, equipment maintenance, and participation in task forces and institutional committees.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   A PhD degree in relevant field
  </li>
  <li>
   5-7 + years of hands-on experience in molecular genetics, cloning, gene editing, viral vector production, cell culture.
  </li>
  <li>
   Strong scientific track records, including successful management of research projects, and/or demonstrated operational excellence, and/or publication in high-impact peer-reviewed journals.
  </li>
 </ul>
 <p>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   In-depth knowledge and strong expertise in cell and molecular genetics.
  </li>
  <li>
   Proven experience in the production of viral vectors (such as AAVs, Lentiviruses, Rabies Virus etc.) and gene manipulation technologies.
  </li>
  <li>
   Experience in primary human cell immortalization.
  </li>
  <li>
   Demonstrated ability to collaborate with researchers in the biological sciences, understand their experimental needs, and translate these into effective genetic tools.
  </li>
  <li>
   Excellent organization skills with a proven ability to manage and execute multiple research projects simultaneously.
  </li>
  <li>
   Strong written and verbal communication skills, with the ability to engage with stakeholders and foster a collaborative work environment.
  </li>
  <li>
   A proactive, results-driven team player with a commitment to achieving shared goals.
  </li>
 </ul>
 <p>
 </p>
</div>


Viral Vector Staff Scientist

NTENT

<div><div><b>Research Scientist</b></div>
<div></div><div><b>Position:</b> Full time</div>
<div><b>Location:</b> Carlsbad office</div>
<div></div><div><b>About Us:</b></div>
<div>NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate Voice Assistant and Search technologies directly into their business-to-consumer offerings. NTENT utilizes a machine learning algorithmic approach to comprehend massive amounts of information across the web. Through the company&rsquo;s proprietary search engine, ontology and knowledge graph, NTENT makes it easier to decipher meaning, surfacing the most relevant answers, results, content and ads, via conversational interfaces or text.<br>
<br>
We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.</div>
<div><br>
<b>About the Opportunity:</b><br>
We are a dynamic company looking for our next great hire to join our team in Carlsbad, California.</div>
<div></div><div>We are looking for a <b>Research Scientist</b> to join our team and drive research and development efforts for our News Platform and systems that evaluate the quality of documents and detect misinformation.</div><br>
<div></div>
<div></div><div><b>Duties and Responsibilities:</b></div>
<ul><li>Partner with product managers, machine learning scientists and engineers to formalize appropriate research questions that are relevant to our News Platform.</li>
<li>Conduct independent research, perform extensive literature reviews, sort through prior published work to find potential solutions.</li>
<li>Design experiments and lead data collection efforts.</li>
<li>Work with large amounts of text data and leverage statistical and machine learning methods.</li>
<li>Communicate and transfer solutions to production together with scientists and engineers.</li>
<li>Communicate ideas, methods, opportunities, and results to cross functional partners.</li></ul><br>
<div></div><div><b>Skills and Qualifications:</b></div>
<div></div><ul><li>Graduate degree (PhD preferred) in Computer Science, Linguistics, Statistics, Computational Social Sciences or other quantitative field.</li>
<li>3+ years of professional experience or equivalent experience in a research lab. Recent PhD graduates are especially encouraged.</li>
<li>Broad experience on with various applications of NLP (part-of-speech tagging, dependency parsing, entity recognition and extraction etc.)</li>
<li>Broad experience in machine learning and statistical methods, in at least one of the following areas: experimental design, causal inference, machine learning, reinforcement learning, deep learning.</li>
<li>End-to-end experience in research projects, including study design, simulation/testing, data cleaning, data analysis, and reporting.</li>
<li>Proficient with Python or R.</li>
<li>Experience with Spark, PySpark.</li>
<li>Exceptional written, verbal, and visual communication.</li>
</ul>
<div></div><div><b>The following experience is a plus:</b></div>
<ul><li>Experience in the news domain (fact checking, detecting misinformation etc.) and knowledge of journalistic principles highly desired.</li>
<li>Experience in computational journalism highly desired.</li>
<li>Publication track record is a big plus!</li>
</ul>
<div></div><div>The ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of language processing is essential in our multi-disciplinary team.</div>
<div></div><div>We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life insurance.</div></div><div></div>

Research Scientist

Joulé

<div>
 <p>
  <span>
   <span>
    <strong>
     Job Title:
    </strong>
    Scientist Antibody Engineering
    <br/>
    <strong>
     Location:
    </strong>
    Rockville, MD (Onsite)
    <br/>
    <strong>
     Hours/Schedule:
    </strong>
    Monday&ndash;Friday, 9:00 AM &ndash; 5:00 PM
    <br/>
    <strong>
     Compensation:
    </strong>
    $30&ndash;$40/hour
    <br/>
    <strong>
     Type:
    </strong>
    Contract (6 months, potential for extension)
    <br/>
    <br/>
    <strong>
     Overview
     <br/>
    </strong>
    <br/>
    A leading biotechnology company advancing next-generation antibody-based therapeutics is seeking a Scientist / Associate Scientist to join their antibody engineering team. This role focuses on phage display, nanobody/antibody discovery, and bispecific engineering, supporting early-stage oncology programs. This is a highly hands-on opportunity to work on cutting-edge therapeutic platforms in a collaborative research environment.
    <br/>
    <br/>
    <strong>
     Responsibilities
    </strong>
   </span>
  </span>
 </p>
 <ul>
  <li>
   <span>
    <span>
     Contribute to the discovery and engineering of nanobodies and antibodies, including bispecific formats
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Perform bio-panning of phage libraries against selected targets to identify lead candidates
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Design, construct, and engineer antibody and nanobody constructs using molecular biology techniques
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Execute PCR, cloning, mutagenesis, RNA isolation, and sequence analysis
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Evaluate antibody/nanobody performance using ELISA, flow cytometry, and Octet
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Analyze binding, function, stability, and developability of candidates
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Support antibody library generation and screening workflows
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Utilize molecular and some computational tools to optimize affinity and stability
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Perform basic data analysis and interpretation of experimental results
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Document experimental procedures and findings in lab notebooks and internal systems
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Collaborate with cross-functional teams to advance discovery programs
     <br/>
    </span>
   </span>
  </li>
 </ul>
 <span>
  <span>
   <strong>
    Requirements
   </strong>
  </span>
 </span>
 <ul>
  <li>
   <span>
    <span>
     Bachelor&rsquo;s degree with 3&ndash;5+ years of experience, OR Master&rsquo;s with 1&ndash;2+ years, OR recent PhD in a relevant scientific discipline
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Direct experience with phage display / bio-panning - required
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Strong hands-on experience in molecular biology techniques (cloning, mutagenesis, sequencing, plasmid work)
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Experience working with antibody or nanobody libraries is highly desirable
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Hands-on experience with ELISA and/or flow cytometry for protein/antibody evaluation
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Familiarity with plasmid mapping and sequence analysis tools (e.g., SnapGene)
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Exposure to NGS is a big plus
    </span>
   </span>
  </li>
  <li>
   <span>
    <span>
     Strong attention to detail, documentation skills, and ability to work in a fast-paced lab environment
    </span>
   </span>
  </li>
 </ul>
 <p>
  <br/>
  <span>
   <span>
    <strong>
     Benefits
     <br/>
    </strong>
    <br/>
    System One offers eligible employees health and welfare benefits coverage options, including medical, dental, vision, spending accounts, life insurance, voluntary plans, and participation in a 401(k) plan.
    <br/>
   </span>
  </span>
  <span>
   <span>
    &nbsp;&nbsp;
    <br/>
    <br/>
   </span>
   <br/>
   #M-3
   <br/>
   <br/>
   <br/>
   <br/>
   <br/>
   Ref: #558-Scientific
  </span>
 </p>
</div>


Scientist, Antibody Engineering

KCAS BIO

<div><div>Performing critical work that impacts our industry and our world&rsquo;s health while problem solving and innovating in the field &ndash; that is what we get to do every day at KCAS Bio. If that gets you excited too, then maybe working at KCAS Bio is for you.</div><div></div><div><p><br>
Acts as a senior technical contributor and lead scientist for complex bioanalytical studies, with the ability to independently execute and/or supervise all aspects from study setup through reporting, including method development and validation. Utilizes a strong foundation in scientific principles and theory to assess data quality, troubleshoot complex technical issues, and ensure regulatory compliance. Maintains a high level of professional expertise within the department and serves as a trusted internal expert, contributing to continuous improvement of scientific quality and laboratory efficiency while mentoring less experienced scientific staff.</p>
</div>
<h3 class="jobSectionHeader"><b>In this role, we will rely on you to:
</b></h3><ul><li>Serve as lead scientist on complex studies, independently designing, executing, and troubleshooting bioanalytical methods and workflows.</li>
<li>Demonstrated experience as PI on complex or high-visibility programs, including multi-analyte, multi-matrix, or global studies</li>
<li>Experience supporting regulatory submissions (IND, NDA, BLA) with bioanalytical data as acting PI or key contributor</li>
<li>Develop, optimize, and validate analytical methods to support drug discovery and development programs.</li>
<li>Provide advanced troubleshooting support for method performance, instrumentation, and study execution issues.</li>
<li>Author and review validation protocols, study plans, reports, and investigations in accordance with regulatory and quality standards.</li>
<li>Provide scientific and technical support for sponsor interactions, contributing data interpretation and study rationale as needed.</li>
<li>Develop and maintain SOPs and provide guidance on analytical procedures.</li>
<li>Stay current with evolving scientific methodologies, instrumentation, and industry trends; apply knowledge to improve study quality and operational efficiency.</li>
<li>Mentor Scientists and junior staff through hands-on training, technical guidance, and knowledge sharing.</li>
<li>Perform all duties in alignment with company mission, values, and quality expectations.</li>
</ul><h3 class="jobSectionHeader"><b>To qualify specifically for this role, you will have:
</b></h3><ul><li>Bachelor&rsquo;s degree in a scientific discipline (advanced degree preferred).</li>
<li>10&ndash;12+ years of relevant experience in research, CRO, or pharmaceutical environment.</li>
<li>Expert knowledge of applicable laboratory techniques and instrumentation.</li>
<li>Strong understanding of regulatory requirements and quality systems.</li>
<li>Strong attention to detail and commitment to scientific excellence.</li>
<li>Effective written and verbal communication skills.</li>
<li>Strong technical writing and basic computer proficiency.</li>
<li>Willingness and ability to mentor and coach others.</li>
<li>Ability to function as a senior individual contributor and scientific role model.</li>
</ul><div>(Please note this is a representative summary of responsibilities, not a comprehensive or exclusive list of the duties to be performed in any position. Employees must follow instructions and perform additional duties as requested.)</div><div><b>
</b></div><div><b>
WHO YOU ARE</b></div><div>
You will thrive at KCAS Bio if you enjoy a relational environment, are purpose- and values-driven, embrace constant development and supportive leadership, and enjoy being part of innovative work.</div><div>
</div><div><b>
WHAT YOU&rsquo;LL GET</b></div><div>
Our benefits include, and extend beyond, the traditional package. At KCAS Bio, you will enjoy company sponsored events like food trucks, family days and spirit days. You will grow in your career with KCAS University. You will be able to connect with like-minded employees to further KCAS Bio's approach to key areas such as wellness, inclusion, and community outreach. You will engage as an owner in our stock ownership program. You will have access to the latest technology. And you will be able to invest in the community with paid time off to volunteer.</div><div></div><div><br>
Learn more about the Benefits at KCAS Bio</div><div><b>
</b></div><div><b>
WHO WE ARE</b></div><div>
We are a fast-growing contract research organization (CRO) headquartered in Kansas City, pioneering the latest drug development in both human and animal health fields. Demand for our expertise is growing and so is our need for great people to work in nimble, empowered teams committed to one another&rsquo;s growth. At KCAS Bio, we advance both great science AND great people.</div><div></div><div><br>
Learn more about what it is like to work at KCAS Bio</div><div>
</div><div>
KCAS Bio is proud to be an Equal Opportunity Employer. Among other things, we provide equal employment opportunities without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, sex, sexual orientation, gender identity, or any other legally protected category; we recruit qualified candidates without regard to citizenship status based on internal processes that enable us to hire the right candidates consistent with the appropriate U.S. Immigration framework; and (3) we work with and provide reasonable accommodations to individuals with disabilities and for sincerely held religious beliefs, observances, and practices. Anyone who needs reasonable accommodation may send an email to kcasrecruiting@kcasbio.com or call 913-248-3000 (for TTY assistance call 711) and ask for Human Resources.</div><div>
</div><div>
IND123</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Sr Scientist, Mass Spec Bioanalysis

Search 10000+ Senior research scientist jobs near you this April. New roles added regularly across leading industries. Apply today.