staff research scientist

InMobi

<div></div><div><div><div><b>InMobi Advertising</b> is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact.</div>
<div>
Through <b>Glance AI,</b> we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home d&eacute;cor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi&rsquo;s global scale, insights, and targeting capabilities to create high impact, performance driven shopping journeys for brands worldwide.</div>
<div>
Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company&rsquo;s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru and beyond.</div>
<div>
At<b> InMobi Advertising</b>, you&rsquo;ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit www.inmobi.com</div>
</div><div></div><div><h3 class="jobSectionHeader"><b>
Overview of the role:</b></h3>
<div>
We are looking for a <b>Staff Applied Scientist I</b> to join our algorithmic and research science team. You&rsquo;ll work on mathematically rigorous, research-driven problems at production scale, while also shaping the direction of key initiatives and mentoring other scientists. This role sits at the intersection of theory and application, designing algorithms that combine elegant modeling with measurable business impact. Specifically, our scientists tackle challenges across traffic shaping, fraud detection, ad quality, pricing strategies, and auction theory, along with their practical applications. We leverage the latest deep learning models alongside classical machine learning techniques to build innovative solutions.</div>
<div>
As the heart of the InMobi Exchange, our team optimizes the company&rsquo;s core business functions and creates the strategic moat that sets us apart in the market. As a Staff Scientist, you will not just &ldquo;use models&rdquo;&mdash;you will formulate them, evaluate their assumptions, tailor them to our problem domain, and bring them to life in production&mdash;while providing thought leadership to the broader team. Many of our challenges have no off-the-shelf solutions; we require scientific creativity to bridge research and reality.</div>
<div>
If you thrive on solving complex, high-impact problems and want to see your ideas shape the future of a global exchange, this is the place where your work will truly make a difference.</div>
<p></p>
<h3 class="jobSectionHeader"><b>The impact you'll make:</b></h3>
<ul>
<div><div>Formulate, analyze, and implement algorithms that power real-time auctions, dynamic pricing, bid shaping, pacing, and traffic allocation across a massive-scale ad marketplace.</div>
</div>
<div><div>Design and experiment with methods in online learning, reinforcement learning, multi-armed bandits, forecasting, game theory, and Bayesian modeling&mdash;in non-stationary, adversarial environments.</div>
</div>
<div><div>Collaborate with product and engineering teams to deploy your models in production and run real-world experiments with rapid feedback loops (measured in hours, not weeks).</div>
</div>
<div><div><b>Provide technical leadership by reviewing scientific approaches, mentoring junior scientists, and guiding the team toward robust methodologies.</b></div>
</div>
<div><div>Contribute to the scientific community by publishing high-quality research, conducting internal seminars, and staying abreast of advances in machine learning, algorithms, and applied statistics.</div>
</div>
<div><div>Evaluate the long-term dynamics of deployed algorithms, incorporating feedback, exploitation-exploration trade-offs, and incentives within multi-agent systems.</div>
</div>
<div><div>Identify new areas for innovation by translating business challenges into research questions and proposing novel, high-impact methodologies.</div>
</div>
<div><div>Translate mathematical ideas into practical, high-performance algorithms that operate at scale in production environments.</div>
</div>
<div><div>Explore and close the loop between model predictions and real-world outcomes, refining algorithms based on system behavior.</div>
</div>
</ul><p></p><h3 class="jobSectionHeader"><b>The experience we need:</b></h3>
<ul>
<div><div>Ph.D. (preferred) or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Operations Research, Physics, or a related quantitative discipline.</div>
</div>
<div><div><b>7&ndash;10 years of experience</b> working on algorithmic or applied research problems, including significant production deployment experience.</div>
</div>
<div><div>Deep grounding in one or more of:</div>
<ul>
<div><div>Statistical learning theory, mathematical optimization, discrete algorithms, probability theory, and information theory</div>
</div>
<div><div>Causal inference, decision theory, game theory, auction theory</div>
</div>
<div><div>Online learning, bandits, RL, Bayesian methods</div>
</div>
</ul></div><div><div>Strong publication record (e.g., NeurIPS, ICML, AISTATS, KDD, UAI, WSDM, EC, SODA, COLT) is a strong plus&mdash;even if not recent.</div>
</div>
<div><div>Proficient in scientific computing with Python, including packages such as NumPy, SciPy, PyTorch, or TensorFlow.</div>
</div>
<div><div>Comfortable working with big data platforms like Apache Spark, distributed computing, and large-scale datasets.</div>
</div>
<div><div>A researcher&rsquo;s mindset: questions first, implementation later. You are thoughtful about assumptions and rigorous about validation.</div>
</div>
<div><div>End-to-end ownership: you can go from idea to production and thrive in applied settings.</div>
</div>
<div><div>Prior experience in ad tech, marketplaces, or dynamic pricing is helpful but not required.</div>
</div>
</ul></div><div><div><b>The InMobi Culture</b></div>
<div>
At InMobi, culture isn&rsquo;t a buzzword; it's an ethos woven by every InMobian, reflecting our diverse backgrounds and experiences.</div>
<div>
We thrive on challenges and seize every opportunity for growth. Our core values &mdash; thinking big, being passionate, showing accountability, and taking ownership with freedom &mdash; guide us in every decision we make.</div>
<div>
We believe in nurturing and investing in your development through continuous learning and career progression with our InMobi Live Your Potential program.</div>
<div>
InMobi is proud to be an Equal Employment Opportunity employer and is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the hiring process and in the workplace.</div>
<div>
Visit https://www.inmobi.com/company/careers to better understand our benefits, values, and more!</div></div></div>

Staff Applied Scientist I

Promega Corporation

<div>Job Description:
<div><b>
OUR TEAM: </b>Our Tailored R&amp;D Solutions (TRS) business leverages Promega&rsquo;s innovative technologies and R&amp;D expertise to provide customized solutions and strategic partnerships that support client drug discovery and development workflows. TRS Screening Services supports client drug discovery programs through high-throughput screening (HTS), compound selectivity profiling, biologics profiling, targeted protein degradation (TPD) profiling, and emerging cell-based target engagement and thermal shift&ndash;style assay platforms for hit finding in challenging targets.</div><div>
We are a dynamic, highly collaborative team focused on delivering high-quality data with rigor, reproducibility, an operations mindset and a strong emphasis on automation and scalability.</div><div></div><div><b><br>
JOB OBJECTIVE: </b>The Sr Research Scientist 1 will provide scientific leadership in the design, transfer and optimization of cell-based screening assays, with a focus on cell-based target engagement and thermal shift&ndash;style platforms. The role is responsible for moving assays from early development into robust, automated workflows and implementing them in client-focused screening projects. The scientist will leverage automation to increase throughput and reproducibility, lead data interpretation, and partner closely with R&amp;D and TRS program management to ensure smooth technology transfer and delivery. The role also includes mentoring junior scientists and managing timelines across multiple parallel projects.</div><div></div><div><b><br>
CORE DUTIES:</b></div><div><br>
1. Develop, validate and execute cell-based assays for screening customer-provided compounds across a range of biological targets, including kinase, TPD and biologics-relevant targets.</div><div><br>
2. Lead the development, validation and implementation of new and emerging cell-based screening technologies and target engagement assay platforms (including proprietary platforms developed within Promega) for hit finding against client targets and libraries.</div><div><br>
3. Optimize and implement automation platforms for performing cell-based assay screens (including target engagement and follow-up assays), ensuring efficiency, reproducibility and scalability for small and large library campaigns. Leverage artificial intelligence and advanced digital tools to accelerate assay development, optimize automation workflows, enhance data analysis, and improve scientific and operational efficiency across screening programs. Leverage artificial intelligence and advanced digital tools to accelerate assay development, optimize automation workflows, enhance data analysis, and improve scientific and operational efficiency across screening programs.</div><div><br>
4. Identify and resolve assay-related challenges, including complex issues encountered during high-throughput execution, providing clear recommendations for improvements to internal teams and customers.</div><div><br>
5. Partner closely with R&amp;D to transfer new assays and technologies into TRS Screening Services, including cell-based target engagement workflows (e.g., NanoBRET TE, thermal shift&ndash;style assays), TPD and PPI assays, ensuring smooth transition and scalability from feasibility studies to routine service offerings.</div><div><br>
6. Mentor and guide team members (including Research Scientist and Research Scientist II roles) in cell-based assay development, screening techniques, automation best practices and data interpretation.</div><div><br>
7. Plan, manage and troubleshoot assay projects to ensure successful execution, data quality and adherence to agreed timelines and deliverables.</div><div><br>
8. Apply expertise in cell-based screening to refine methodologies, improve assay robustness and support the integration of new readouts or formats as needed for client programs.</div><div><br>
9. Assess and enhance existing and novel assay technologies for seamless integration with automation platforms and data systems, with attention to efficiency, scalability and data quality.</div><div><br>
10. Perform hands-on bench work as needed to support assay development, optimization, troubleshooting and critical experimental runs.</div><div><br>
11. Ensure compliance with ethical, legal and regulatory standards relevant to cell-based research and client-specific requirements.</div><div><br>
12. Promote an inclusive and respectful workplace environment through effective communication and collaboration.</div><div><br>
13. Demonstrate inclusion through words and actions and be accountable for a safe workspace, acting with kindness, curiosity and respect for others.</div><div><br>
14. Embrace and be open to incorporating Promega&rsquo;s Emotional &amp; Social Intelligence (ESI) core principles in daily work.</div><div></div><div><b><br>
KEY QUALIFICATIONS:</b></div><div></div><div><br>
1. BS degree in a scientific discipline with 12+ years post-graduate experience in cell-based assay development.</div><div></div><div><br>
OR</div><div></div><div><br>
2. MS degree in a scientific discipline with 6+ years post-graduate experience in cell-based assay development.</div><div></div><div><br>
OR</div><div></div><div><br>
3. PhD degree in a scientific discipline with 0-3 years post-graduate experience, preferably in an industrial research and/or development environment, with a focus on cell-based assay screening.</div><div></div><div><br>
4. Demonstrated proficiency in digital tools and technology, including Microsoft applications and mobile platforms, with the ability to adapt and leverage emerging technologies, such as artificial intelligence, to improve efficiency, automation, and collaboration.</div><div></div><div><b><br>
PREFERRED QUALIFICATIONS:</b></div><div><br>
1. Experience with high-throughput screening (HTS) and automation of cell-based assays.</div><div><br>
2. Demonstrated experience in technology transfer of complex assays from R&amp;D/feasibility into production or service environments, including documentation, training and ongoing support for scalable execution.</div><div><br>
3. Experience with NanoBRET, thermal shift or other cell-based target engagement assays, or related biophysical methods for monitoring compound-induced protein stabilization or engagement.</div><div><br>
4. Strong publication or project track record in cell-based screening, assay development or target engagement / mechanistic studies.</div><div><br>
5. Proficiency in data analysis software and statistical tools for assay optimization, QC and interpretation of screening results.</div><div><br>
6. Experience utilizing laboratory automation platforms for cell-based assays, including:<br>
<ul><li>Operation and programming of liquid handling robots.</li><li>Integration of automation solutions for multi-step assays.</li></ul></div><ul><li>Troubleshooting and optimizing automated workflows for assay reproducibility and efficiency.</li><li>Familiarity with LIMS and data management systems for automated screening.</li><li>Collaboration with automation and data teams to enhance laboratory throughput and efficiency.</li></ul><div><br>
7. Prior experience in a fee-for-service or CRO-like environment and direct interaction with external clients.</div><div></div><div><b><br>
PHYSICAL DEMANDS:</b></div><div></div><div><br>
1. Ability to work at a lab bench or fume hood for extended periods.</div><div></div><div><br>
2. Ability to wear protective gear (gloves, lab coat, safety glasses, etc.).</div><div></div><div><br>
3. Ability to operate a computer for data analysis and documentation.</div><div></div><div><br>
At Promega, we are committed to building a diverse workforce that reflects the communities we serve and creating a culture where everyone belongs. As an Equal Opportunity Employer, we welcome and encourage applications from all backgrounds, ensuring that employment decisions are made fairly and equitably.</div></div>

Sr Research Scientist 1

Tekion

<div><div><p><b>About Tekion:</b></p>
<p>
Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.</p></div><p><b>
Tekion</b> seeks an exceptionally talented and seasoned Staff / Lead Applied Scientist to architect the future of our AI-driven solutions. The incumbent will assume a pivotal role in our organization, providing the strategic and technical stewardship necessary to translate cutting-edge research into tangible business value. The ideal candidate is a first-principles thinker, adept at navigating ambiguity, and possesses the intellectual curiosity to formulate and solve complex, unstructured problems. This is seminal opportunity to influence the trajectory of our AI strategy and deliver transformative solutions at an enterprise scale.<br>
<br>
<b>Key Responsibilities</b></p>
<ul>
<li>Strategic Direction: Architect and execute the strategic vision for applied AI and Machine Learning within Tekion, ensuring rigorous alignment with overarching business objectives and industry challenges.</li>
</ul><ul><li>Innovation &amp; Research Leadership: Steer the R&amp;D roadmap by identifying and capitalizing on emergent technological opportunities. Drive innovation through the ideation and implementation of novel, scientifically-grounded solutions.</li>
</ul><ul><li>Stakeholder Alignment: Serve as the principal technical liaison between the R&amp;D organization and executive stakeholders, ensuring technical strategies are congruent with business imperatives.</li>
</ul><ul><li>Cross-Functional Execution: Lead collaborations with product, engineering, and business units to define, develop, and integrate sophisticated machine learning systems into core products and services.</li>
</ul><ul><li>Scientific Contribution: Contribute to the broader scientific community through publications in premier academic conferences and journals, enhancing Tekion's position as a center of innovation.</li>
</ul><ul><li>Mentorship &amp; Talent Development: Mentor and cultivate a culture of scientific rigor and innovation among applied scientists, guiding project execution and fostering professional growth.</li>
</ul><ul><li>Impact Quantification: Establish robust frameworks for model evaluation and performance measurement. Quantify and articulate the business impact of machine learning initiatives to executive leadership.</li>
</ul><ul><li>Governance &amp; Best Practices: Institute and govern best practices for the entire machine learning lifecycle, including model development, validation, deployment, and monitoring, while championing ethical and responsible AI</li></ul><br>
<p></p>
<p><b>
Core Competencies &amp; Technical Expertise</b></p>
<p>
 The successful candidate will demonstrate mastery in the following areas:</p>
<ul>
<li>Foundational Expertise: Deep, theoretical and practical expertise in Machine Learning, Deep Learning, Causal Inference, and Explainable AI.</li>
</ul><ul><li>Statistical Rigor: Advanced proficiency in applied probability and statistics to derive and validate insights from complex, high-dimensional data.</li><br>
</ul>
<p><b>Deep Learning:</b></p>
<ul>
<li>Expert-level proficiency with frameworks such as TensorFlow, Keras, and PyTorch.</li>
</ul><ul><li>Extensive experience implementing advanced neural network architectures.</li>
</ul><ul><li>Practical application of Computer Vision (e.g., OpenCV) and Natural Language Processing (e.g.,spaCy) methodologies.</li>
</ul><ul><li>Large Language Models (LLMs): Demonstrated experience with Large Language Models, including advanced prompt engineering, fine-tuning, and deployment for specific business applications.</li>
</ul>
<p><b>Technical Proficiencies:</b></p>
<ul>
<li>Advanced programming skills in Python and mastery of SQL. Familiarity with distributed computing frameworks (e.g., Spark) is advantageous.</li>
</ul><ul><li>Proficiency with cloud computing platforms (GCP, Azure, AWS).</li>
</ul><ul><li>Expertise in experimental design (A/B testing, causal inference).</li>
</ul><ul><li>Proficient in version control systems (Git).</li></ul><br>
<p></p>
<p><b>
Required Qualifications</b></p>
<ul>
<li>An advanced degree (Ph.D. or M.S. preferred) in a quantitative discipline such as Computer Science, Statistics, Operations Research, Physics, or a related field.</li>
</ul><ul><li>A minimum of 7 - 9 years of post-academic experience in applied science or quantitative research roles, with a demonstrable history of translating complex models into tangible business value.</li>
</ul><ul><li>A distinguished track record of solving difficult, business-critical problems using a scientific, data-driven approach.</li>
</ul><ul><li>Proven experience in programming, data manipulation, and building models in a business context.</li>
</ul><ul><li>Sophisticated data visualization and presentation skills, with the ability to distill complex analytical results into clear, actionable insights for diverse audiences.</li><br>
</ul>
<p><b>Ideal Candidate Profile</b></p><br>
<ul>
<li>A profound intellectual curiosity and a systematic, first-principles approach to problem-solving.</li>
</ul><ul><li>Domain expertise in the automotive industry or related fields such as finance or enterprise SaaS is highly desirable.</li>
</ul><ul><li>Experience in specialized areas such as Recommendation Engines or advanced NLP is preferred.</li>
</ul><ul><li>Exceptional communication and presentation capabilities, with a proven ability to distill complex technical concepts for executive-level audiences.</li>
</ul><ul><li>A demonstrated ability to work collaboratively and effectively lead initiatives across multi-disciplinary teams.</li>
</ul><ul><li>A commitment to continuous personal and team development within a collaborative, high-performance culture.</li></ul><br>
<p></p>
<p><b>
Perks and Benefits</b></p><br>
<ul>
<li>Competitive compensation</li>
</ul><ul><li>Generous stock options</li>
</ul><ul><li>Medical Insurance coverage</li>
</ul><ul><li>Work with some of the brightest minds from Silicon Valley's most dominant and successful companies</li></ul><p></p><div><p><br>
Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.</p>
<p>
For more information on our privacy practices, please refer to our Applicant Privacy Notice here.</p></div></div>

Staff Applied Scientist

Nazgrow Pvt Ltd

<p>We are looking for a detail oriented and focused female candidate for a data research and data entry role. The position involves online research and accurate data management using Excel sheets.</p><p><b>Responsibilities:</b></p><ul><li>Conduct online research to identify struggling sellers on Amazon</li><li>Collect and verify seller related data based on given criteria</li><li>Enter and organize data accurately in Excel sheets</li><li>Maintain data accuracy and consistency</li><li>Update and manage daily research records</li><li>Follow company guidelines and research process</li></ul><p><b>Requirements:</b></p><ul><li>Basic computer and internet skills</li><li>Working knowledge of Excel or Google Sheets</li><li>Good attention to detail</li><li>Basic English reading and writing skills</li><li>Willingness to learn (initial training will be provided)</li></ul><p><b>What We Offer:</b></p><ul><li>Proper training and task understanding</li><li>Professional and friendly work environment</li><li>Growth opportunities based on performance</li><li>Fixed monthly salary</li></ul><p><b>Location: </b>Charlie Trade Tower, 3rd Floor, Office # 303, Sindhi Muslim Housing Society, Karachi.</p><p><b>Timings: </b>7:00 PM - 3:00 AM</p><p>Job Types: Full-time, Fresher</p><p>Pay: Rs25,000.00 - Rs40,000.00 per month</p><p>Work Location: In person</p>

Night Shift - Data Research (Female)

GenBio AI

<div>
 Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 <br/>
 <br/>
 We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&amp;D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
 <br/>
 <br/>
 <strong>
  Job Description:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
  </li>
  <li>
   You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
  </li>
  <li>
   Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualification:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
  </li>
  <li>
   Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications
  </li>
  <li>
   Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra)
  </li>
  <li>
   Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge
  </li>
  <li>
   Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment)
  </li>
  <li>
   Familiarity with software engineering best practices (version control, documentation, etc)
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to Have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3 year PhD student and above
  </li>
  <li>
   Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences
  </li>
  <li>
   Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research)
  </li>
  <li>
   Hands-on experience working at the intersection of AI and Biology
  </li>
  <li>
   Experience in large-scale distributed training and inference
  </li>
  <li>
   Open-source contributions, especially if used by others
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 <br/>
 <br/>
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. GenBio AI participates in the U.S. Department of Homeland Security&rsquo;s E-Verify program to confirm the employment eligibility of all newly hired employees. For more information on E-Verify, please visit www.e-verify.gov.
 <br/>
 <br/>
 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.
</div>


Research Scientist Intern

Uber

<div><b>About the Role</b>
<br>
<br>
<b>We are seeking a highly skilled and motivated Staff Data Scientist to join our Applied AI Team.</b> In this role, you will work together with the team building our Merchant agent tool. This tool aims to scale easy-to-use, personalized support to our merchants to help them better succeed on our marketplace.
<b>- What the Candidate Will Do -</b><br>
<br>
<br>
<ul><li>Design, develop and interpret agentic models via analyses and experiments to evaluate their effectiveness.
</li><li>Feed these insights back to shape the technical execution and strategic direction.
</li><li>Develop data-driven insights to identify opportunities to improve the product or build new products.
</li>Present findings to various constituents: technical, business and executive audiences.<br>
<li>
</li></ul><b>- Basic Qualifications -</b><br>
<br>
<br>
<ul><li>Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
</li><li>Minimum 5 years of industry experience as a Data Scientist or equivalent.
</li><li>Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
</li><li>Ability to use Python/R to work efficiently at scale with large data sets.
</li><li>Proficiency in SQL.
</li></ul>- Preferred Qualifications -<br>
<br>
<br>
<ul><li>Experience managing projects across large, ambiguous scopes and driving initiatives in a fast moving, cross-functional environment.
</li><li>Expertise in synthesizing complex technical analyses into clear insights to influence product direction.
</li><li>Excellent communication skills across technical, non-technical, and executive audiences.</li></ul></div>

Staff Scientist, UberEats Merchant AI

White Mastery Systems

<ul><li><b>Data &amp; Tech:</b> Data Scientist, AI/Machine Learning Specialist, Software Developer, Data Analyst, Python Developer.</li><li><b>Research &amp; Development:</b> Research Scientist, Biochemist, Junior Research Fellow, Lab Technician, Biotech Researcher, Pharmacovigilance Associate.</li><li><b>Healthcare:</b> Assistant Dietician, Radiographer, Clinical Research Associate, roles in Pharmacy.</li><li><b>Education &amp; Academia:</b> University Lecturer, Professor, PGT Teacher (with B.Ed.).</li><li><b>Engineering:</b> Electrical Engineer, Automation Tester, roles in Water Quality.</li><li><b>Government &amp; Other Sectors:</b> Roles in ISRO, Ministry of Defense, Finance, Environmental Agencies, and</li></ul><p>Job Types: Full-time, Permanent, Fresher</p><p>Pay: ₹18,086.00 - ₹52,273.64 per month</p><p>Benefits:</p><ul><li>Health insurance</li><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

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