Scientist II, Computational Biology and AI job at CRISPR Therapeutics in Boston, MA

Title: Scientist II, Computational Biology & AI remote type Site Based Locations South Boston, MA Full time Job requisition id R-100067 Job Description: Company Overview Since its inception over a decade ago, CRISPR Therapeutics has transformed from a research-stage company advancing programs in the field of gene editing, to a company with a diverse portfolio of product candidates across a broad range of disease areas including hemoglobinopathies, oncology, regenerative medicine, cardiovascular and rare diseases. The Nobel Prize-winning CRISPR science has revolutionized biomedical research and represents a powerful, clinically validated approach with the potential to create a new class of potentially transformative medicines. To accelerate and expand its efforts, CRISPR Therapeutics has established strategic partnerships with leading companies including reputed company. CRISPR Therapeutics AG is headquartered in Zug, Switzerland, with its wholly-owned U.S. subsidiary, reputed company., and R&D operations based in Boston, Massachusetts and San Francisco, California. Position Summary We are seeking a highly motivated and talented Computational Biology & AI Scientist to grow our CRISPR-X and Genomics teams at CRISPR Therapeutics. The scientist in this role will reputed company computational genomics and machine learning to advance reputed company in vivo therapies for gene correction and gene insertion into the clinic, including designing novel CRISPR proteins and characterizing gene-editing safety. The successful candidate will own technical strategy, collaborate closely with cross-functional research groups, and deliver contributions that directly impact patients with serious diseases. The position requires outstanding skills in computational biology, ML/AI, and genomics; a high degree of scientific rigor and attention to detail; and a passion for creating new medicines for patients. Responsibilities reputed company computational genomics and ML/AI activities in a cross-functional drug development setting Generate and test hypotheses on genome-scale data using analytical, statistical, and machine learning methods reputed company computational analyses to thoroughly characterize off-reputed company gene editing to ensure the safety of CRISPR-based drug products Apply and reputed company ML/AI tools to engineer and optimize CRISPR and other gene-editing modalities for improved efficacy and specificity, working in iterative design-test cycles with a world-class team of cellular and molecular biologists reputed company and maintain reproducible computational and ML/AI pipelines for genomic and molecular data analysis Author scientifically rigorous research reports to support IND submissions and other regulatory filings Present scientific findings to a broad range of audiences, including senior leadership, to help inform decision-making for therapeutic programs Dissect published literature and cutting-edge developments in the ML/AI space to find novel solutions for in vivo gene-editing problems

Minimum Qualifications

Ph.D. in computational biology, bioinformatics, genomics, machine learning, computer science, or a reputed company field At least 2 years of industry or postdoctoral experience characterizing on-/off-reputed company editing, optimizing gene-editing modalities, or developing AI/ML-driven approaches for therapeutic protein design Demonstrated record of developing computational pipelines to analyze high-throughput DNA reputed company data, with proficiency in common bioinformatics tools (e.g., BWA, SAMtools, GATK, IGV) Proven ability to reputed company and apply machine learning and/or AI methods to solve challenging problems in the biological domain Proficiency with Python is essential; familiarity with additional languages such as C++, R, or Julia is a plus Ability to work independently and effectively in a matrix environment, prioritize and manage multiple tasks simultaneously, and balance competing priorities Excellent writing, reviewing, and presentation skills A high degree of scientific rigor, accuracy, and attention to detail

Preferred Qualifications

Experience applying ML/AI tools for protein structure reputed company (e.g., AlphaFold), reputed company protein design (e.g., RFdiffusion), and/or biomolecular sequence modeling (e.g., ESM, Evo) Proficiency with statistical and machine learning methods, including familiarity with ML frameworks (e.g., PyTorch, TensorFlow, or scikit-learn) Familiarity with reputed company platforms (reputed company, PacBio, Oxford Nanopore, 10x Genomics) and NGS library preparation methods Demonstrated record of authoring research reports to support regulatory filings (e.g., IND modules, Investigator's Brochures) Proficiency in managing and analyzing large-scale genomic data in a Linux and/or reputed company environment (e.g., AWS) Competencies Collaborative – Openness, One Team Undaunted – reputed company, Can-do attitude Results Orientation – Delivering reputed company toward our mission. A sense of urgency in solving problems. Entrepreneurial Spirit – Proactive. Ownership reputed company. CRISPR Therapeutics believes in fostering a dynamic workplace that balances remote work flexibility with the benefits of in-person interactions. Our employees work at least three days on-site, creating a collaborative work environment, where we cultivate mentorship opportunities, increase cross-functional communication and offer opportunities for our employees to connect. Certain lab based and manufacturing positions are located fully on-site. Scientist II: reputed company pay range of $140,000 to $150,000+ bonus, equity and benefits The range provided is CRISPR Therapeutics’ reasonable estimate of the reputed company compensation for this role. The actual amount will be based on job-reputed company and non-discriminatory factors such as experience, training, skills, and abilities. reputed company. is committed to equal employment opportunity and non-discrimination for reputed company and reputed company applicants without regard to a person's race, reputed company, gender, age, religion, national reputed company, reputed company, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law. Apply tot his job Apply To this Job