Postdoctoral Fellow-MSH

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profile Job Location:

New York City, NY - USA

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy
The job posting is outdated and position may be filled

Job Summary

Description

Details of Research Project:

develop and apply machine learning models for antibody design and engineering focusing on sequencestructure relationships binding prediction and optimization of antibody variants. The project integrates computational modeling with experimental protein engineering and immunological validation.

Technical Duties: (include any protocols)

Develop train and benchmark machine learning models for antibody sequence and structure analysis

Perform large-scale computational analysis of antibody and nanobody repertoires

Integrate structural modeling tools with ML-based prediction pipelines

Assist with experimental validation workflows including recombinant protein expression and binding assays

Maintain documentation of computational workflows (HPC) and research protocols



Responsibilities

1. Ongoing evaluation and treatment or research under the direct supervision of an M.D. or Ph.D.

2. Neuropsychological assessments if appropriate to position.

3. Cognitive remediation

4. Individual supportive therapy.

5. Group supportive therapy.

6. Interdisciplinary team participation and coordination.

7. Co-lead training seminars.



Qualifications

Educational and other Requirements for the position: PhD

Experience Required:

Experience in machine learning or statistical modeling

Familiarity with protein structure antibody engineering or computational biology

Experience with Python or similar scientific programming languages

Ability to work collaboratively in an interdisciplinary research environment

Goals/Outcomes of the Research Project:

Establish robust machine learning frameworks to support antibody and nanobody engineering

Generate validated computational tools that improve antibody design efficiency and accuracy

Produce publishable research findings and computational resources to advance protein engineering efforts



DescriptionDetails of Research Project:develop and apply machine learning models for antibody design and engineering focusing on sequencestructure relationships binding prediction and optimization of antibody variants. The project integrates computational modeling with experimental protein engineeri...
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Key Skills

  • Virology
  • Bioinformatics
  • Genetics
  • R
  • Biochemistry
  • Cell Biology
  • Research Experience
  • Spectroscopy
  • Cell Culture
  • Molecular Biology
  • Microscopy
  • Research Laboratory Experience

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