<p>Description</p> <p>About Immunai:</p> <p>Immunai is an engineering-first platform company aiming to improve therapeutic decision-making throughout the drug discovery and development process. We are mapping the immune system at unprecedented scale and granularity and applying machine learning to this massive clinico-immune database, in order to generate novel insights into disease pathology for our partners - pharma companies and research institutes. We provide a comprehensive, end-to-end solution - from data generation and curation to therapeutics development, that continuously supports and validates the capabilities of our platform.</p> <p>As drug development is becoming increasingly inefficient, our ultimate goal is to help bring breakthrough medicines to patients as quickly and successfully as possible.</p> <p>Immunai is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.</p> <p>About the role:</p> <p>The successful candidate will work in a fast-paced team alongside highly experienced scientists and will interface closely with a multidisciplinary team of immunology, molecular biology, and bioinformatics scientists. Specifically, they will contribute to the Molecular Profiling team performing high throughput profiling of clinical and experimental samples using flow cytometry, bulk RNA-seq, dissociated and spatial single cell multiomics. The successful candidate will be an excellent team player, agile in thought, energetic, and willing to learn new methods and skills.</p> <p>Location: NYC, New York (on-site position)</p> <p>What will you do?</p> <ul> <li>Provide support to augment the team's molecular profiling efforts using a wide range of techniques including NGS library preparation, bulk RNAseq, single cell genomics and flow cytometry </li><li>Maintain a complete, accurate, and timely electronic record of all experiments using an informatics management system </li><li>Document, compile and assist with interpreting experimental data </li><li>Work with supervisor to help plan project requirements and timelines </li><li>Operate and maintain automated laboratory equipment to complete investigations </li><li>Prepare, order, and maintain stocks of necessary reagents, solutions, and supplies </li><li>Actively participate in cross-functional team meetings and communicate effectively with other members of the lab, computational biology, and software team </li></ul> <p>Requirements</p> <p>Required qualifications:</p> <ul> <li>BS degree in Biology or related field required </li><li>Must possess at least 1 - 2 years of experience in a research laboratory, preferably on an independent project </li><li>Must possess a familiarity with molecular biology techniques, including but not limited to single cell genomics workflows and NGS library preparation </li><li>Familiarity with tissue sample handling, including fixed tissue processing preferred </li><li>Familiarity with spatial transcriptomic and/or spatial proteomic workflows is an advantage </li><li>Strong analytical skills, problem solving ability, and innovation aptitude required </li><li>Must be willing to discover and learn new software and technology applications quickly </li><li>Must have strong attention to detail and an ability to multi-task </li><li>Excellent interpersonal skills and ability to effectively work as part of a team are essential </li><li>Excellent organization and time management skills </li><li>Ability to work independently with minimal supervision </li></ul> <p>Desired personal traits:</p> <ul> <li>You want to make an impact on humankind </li><li>You prioritize "We" over "I" </li><li>You enjoy getting things done and striving for excellence </li><li>You collaborate effectively with people of diverse backgrounds and cultures </li><li>You have a growth mindset </li><li>You are candid, authentic, and transparent </li></ul> <p>Compensation: This position offers a salary typically between $85,000 - $95,000. There is an opportunity to consider higher compensation above this range based on business need, candidate experience, and or skills.</p> <ul> <li>Please note that when you apply for a position at Immunai, your application will be processed via our recruitment platform Comeet. You can read more about how we process personal data here: https://www.immunai.com/privacy-policy/ </li></ul>