Remote Jobs at Abata Therapeutics

- Solid background in single-cell bioinformatics on large atlas datasets - Solid background in machine learning applied to genomics data and cheminformatics - Solid background in high throughput synthetic lethal oncology genomics screens and subsequent target validation of individual genes - For Junior Scientists: experience with tissue culture, single-cell sample preparation, laboratory automation using robotics, and biochemical assays for target validation and mechanistic investigation - Backg…

The candidate must be currently enrolled in a college program related to Immunology or Cell Biology, completed introductory laboratory coursework in Cell Biology, Molecular Biology, Biochemistry, Immunology, or a related field, and be interested in gaining hands-on experience with mammalian cell culture and sterile technique. They should also be self-motivated to find solutions and drive to results, and willing to use the same energy to ensure the success of everyone in the team, with strong int…

- MD or DO with a subspecialty in Oncology, specifically in the treatment of genitourinary cancers is required - Successful completion of post-graduate training or residency in Oncology, along with board certification or board eligibility is highly desirable - Minimum 8 years of experience within biotechnology, pharmaceutical or relevant academic institutions required - Expert level understanding of early drug development and clinical trial processes with a track record of leading clinical devel…

- A strong foundation in molecular biology, biochemistry, structural biology, and/or a related field - Ph.D. or M.S. with relevant experience is preferred - Hands-on experience with antibody engineering techniques such as yeast display, phage display, or other directed evolution methods. Experience in library design, build, and validation - Experience in protein purification techniques (including affinity, ion exchange, HIC, SEC) and in chromatography hardware and software (Cytiva AKTA, Agilent …

- Not specified

- PhD in Biology, Cell Biology, or relevant discipline with 0-2 years of industry experience - OR B.S. or M.S. with 6+ years of industry experience and a strong scientific track record - Proven track record of developing novel cell-based assays and engineering cell lines - Experience in cellular readouts of protein activity (e.g., transcriptional/translational reporters, NanoBit/BRET, qPCR, HTRF, flow)

Candidates should possess a Medical Degree (MD or DO) with board certification in Internal Medicine or a related specialty, and a minimum of 8 years of experience in clinical development, with at least 5 years in a leadership role within the pharmaceutical or biotechnology industry. Strong knowledge of clinical trial design, regulatory requirements, and data analysis is essential, along with demonstrated experience in overseeing clinical studies and collaborating with cross-functional teams.

Candidates should possess a Bachelor’s degree in a scientific discipline, such as biology, pharmacy, or a related field, and have at least 7 years of experience in clinical trial management, with a minimum of 3 years specifically within dermatology or immunology. Demonstrated experience managing multiple clinical trials simultaneously is essential, along with a strong understanding of clinical trial regulations and guidelines.

- BS in computer science, mathematics, chemistry or a related field (demonstrated excellence in prior work is more critical than exact undergraduate coursework) - 5+ years work experience as a senior technical contributor in two or more of software engineering, data science, and/or machine learning products (experience applying these in the context of chemistry, biology, and/or drug discovery is preferred) - 3+ years of personnel management and team leadership experience, including recruiting, d…

- PhD in Computer Science, Machine Learning, Computational Chemistry, or a related field - Strong publication record in top-tier conferences or journals (e.g., NeurIPS, ICLR, ICML, Nature, Science, Cell) - 5+ years of research experience, including postdoctoral or industry settings, with a track record of leading high-impact AI projects - Deep expertise in modern deep learning frameworks (e.g., PyTorch, JAX) and large-scale model training on GPUs or distributed systems - Demonstrated experience …

- MD, MD/PhD, or equivalent degree, Board Eligible or Certified in Medical Oncology - 1+ year of industry experience in a medical monitor/medical director role overseeing oncology clinical program(s). Additional experience running clinical trials as clinical site study investigator is highly preferred - Understanding of the drug development process from target identification to marketing authorization - Strong knowledge of ICH, GCP guidelines, and relevant regulatory requirements - Excellent wri…

Candidates must possess a Bachelor's degree in Computer Science, Engineering, or a related field, coupled with over 7 years of industry experience in AI, machine learning, or similar roles, demonstrating a history of successfully implementing and deploying AI models in production. Proficiency in Python and C++, deep expertise in frameworks like PyTorch/Jax, a strong grasp of deep learning fundamentals including neural network architectures, optimization techniques, and evaluation metrics, and ex…

- Bachelor’s or Master’s in a scientific discipline with 8+ years of relevant experience in clinical supply chain and logistics - Must have hands-on experience managing supply chain activities including but not limited to label

- MD or equivalent - Preferred: Board Certified/Board Eligible in neurology or psychiatry - Minimum 3 years of CNS research - Preferred: Minimum 5 years industry experience, including demonstrable success at leading and implementing clinical development strategy and clinical studies - Preferred: Minimum 3 years in research in neurodegenerative diseases, particularly Alzheimer’s disease - Preferred: Meaningful regulatory interactions, including NDA and IND experience - Established relationships w…

Candidates should possess a Bachelor's degree and 10 years of experience, or a Master's degree and 8 years of experience in life sciences, pharmaceutical sciences, or pharmacology. A strong background in conducting clinical pharmacology studies, including study design, PKPD data analysis, and interpretation of results, is essential. A PhD in Pharmaceutical Science or a related discipline is preferred, along with strong quantitative experience such as pharmacometrics.