Associate Scientist, Molecular Bioanalytics at Editas Medicine

Cambridge, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

125000.0

Posted On

07 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Bioanalytical Skills, PCR-Based Methods, Data Analysis, Drug Discovery, Collaboration, Gene Editing, Quantitative Bioanalysis, Nucleic Acid Extraction, Sample Analysis, Report Writing, Problem-Solving, Mammalian Cell Cultures, Protein Analysis, LBA Assays, ADME, PK/PD

Industry

Biotechnology Research

Description

At Editas Medicine, we are pioneering the possible. Our mission and commitment is to translate the power and potential of the CRISPR/Cas12a and CRISPR/Cas9 genome editing systems into a robust pipeline of medicines for people living with serious diseases around the world. Our goal is to discover, develop, manufacture, and commercialize transformative, durable, precision genomic medicines for a broad class of diseases. Why Choose Editas? At Editas Medicine, we’re a team of passionate problem solvers, harnessing the power and potential of CRISPR gene editing to transform the future of medicine. Driven by a shared purpose to serve people living with serious diseases, we succeed together through collaboration, mutual respect, and innovation. If you want to be part of a team where your voice is heard and respected, where you can operate at the forefront of gene editing, and push the boundaries of what’s possible in medicine, come join us and become an Editor! Decoding The Role: Editas Medicine is seeking a highly motivated and creative bioanalytical Associate or Sr. Associate Scientist to join our Bioanalytical and Biomarker Sciences team. In this role, you would report into our Molecular Bioanalytics team and be responsible for supporting ADME, biodistribution, PK/PD and bioanalytical activities. You will be responsible for executing stage-appropriate molecular bioanalytical assays in support of DMPK, tox, biodistribution and PK/PD studies. The ideal candidate will have strong technical bioanalytical skills in PCR-based methods (ddPCR, TaqMan PCR or other quantitative techniques) to generate quantitative data to support in vitro and in vivo studies. To be successful in this role, you should be an independent thinker, highly motivated and be able to thrive in a fast-paced environment generating data at high throughput. A broad understanding of drug discovery and development, and ability to work collaboratively within the team and cross-functionally is desired. Independence in data analysis, interpretation and communication are key attributes for a successful individual in this role. Characterizing Your Impact: As the Associate or Sr. Associate Scientist, you will be responsible for: · Independent execution of routine workflows for bioanalytical method development and sample analysis using techniques such as molecular bioanalytical assays (qPCR, ddPCR) in support of non-clinical quantitative bioanalysis. · Independently execute and contribute to the development of PCR-based methods, sample analysis, data generation and report writing. · Develop nucleic acid extraction (DNA/RNA) and quantification from broad-spectrum animal tissues (including NHP samples) and cell types. · Execute bioanalytical assay development strategies to characterize ADME, PK/TK and biodistribution properties of the drug product and address key scientific questions. · Extract genomic DNA from in vivo and in vitro gene editing studies and submit for sequencing analysis. · Ensure that the data obtained is of the highest quality, and generated timely. · Write bioanalytical assay protocols, ROPs/SOPs. · Model behaviors of a strong technical contributor and team player. · Work cross-functionally within the organization. · Ensure compliance with electronic notebooks (ELN), high data integrity and company policies. The Ideal Transcript: To thrive in this role, you’ll need: · Bachelor’s/Master’s degrees with >2 years relevant industry. · Experience in conducting quantitative bioanalysis using molecular bioanalytical techniques such as qPCR, ddPCR to support discovery and development projects. · Independently design, execute and analyze experimental results and effectively communicate them. · Demonstrated knowledge and experience in establishing molecular bioanalytical methods, for a variety of therapeutic modalities, ideally in preclinical development. · Excellent communication skills and proven ability to collaborate with interdisciplinary teams, along with exceptional scientific thinking and problem-solving skills. · Experience with gene editing or gene delivery technologies and lipid nanoparticle delivery is highly desired. · Experience with mammalian cell cultures (primary or immortalized) is highly preferred. · Experience with protein analysis and LBA assays is a plus. Editas provides a comprehensive array of benefits to all employees, including a Blue Cross Blue Shield PPO Medical Plan, a company-funded Health Savings Account, Dental and Vision Insurance, Life and Disability Insurance, Dependent Care Account, Tuition Reimbursement, 401(k) plan with company match, Employee Stock Purchase Plan, Employee Assistance Plan, Wellness Programs, and a flexible Paid Time Off policy. Salary Range: $110,000 - $125,000 Pay Transparency Editas Medicine is committed to transparency and accuracy in our hiring practices. The anticipated salary range for each position is posted within the role. The final salary offer will be determined based on a comprehensive assessment of the candidate's qualifications, including education, training, and relevant experience. Additional factors such as external market conditions, the role's criticality, and internal equity will also be considered. Editas Medicine's compensation philosophy ensures fair and equitable pay practices.

Responsibilities

The Associate or Sr. Associate Scientist will execute routine workflows for bioanalytical method development and sample analysis, focusing on molecular bioanalytical assays. Responsibilities include developing nucleic acid extraction methods and ensuring high-quality data generation in support of drug development studies.