欧美另类激情_日本三级视频在线播放_中文字幕在线不卡_国产高清视频在线播放www色

您的位置:中國博士人才網 > 博士后招收 > 海外博士后招收 > 英國Immunocore公司2025年招聘首席研究科學家(計算機生物制劑設計)

關注微信

英國Immunocore公司2025年招聘首席研究科學家(計算機生物制劑設計)

時間:2025-01-02來源:中國博士人才網 作者:佚名

英國Immunocore公司2025年招聘首席研究科學家(計算機生物制劑設計)

Principal Research Scientist - In Silico Biologics Design

Employer

Immunocore

Location

Abingdon, Oxfordshire, England / Oxford, England, Oxfordshire

Salary

£75000 - £90000 per year

Closing date

18 Jan 2025

Immunocore (NASDAQ: IMCR) is a pioneering, commercial-stage T cell receptor biotechnology company whose purpose is to develop and commercialize a new generation of transformative medicines which address unmet patient needs in oncology, infectious diseases and autoimmune disease. Our leaders in R&D are internationally recognised as some of the biotech industry's most successful drug developers. We are creating not just an environment where great minds can interact but an innovation powerhouse answering the big questions.

Focused on delivering first-in-class biological therapies to patients, we have developed a highly innovative soluble TCR platform. Our ImmTAX molecules underpin a new generation of precision engineered drugs that harness the immune system to treat a broad spectrum of diseases with high unmet medical need, including oncology, infectious diseases and autoimmune diseases.

We strive to create a diverse and inclusive workplace, while seeking talented individuals to work with us across the many functions that will allow us to deliver new medicines to transform the lives of patients. You will work with outstanding people who together pioneer the research, development and commercialization of bi-specific TCR therapies. We aim to create an environment where individual contributions and initiatives can be maximized, while fostering a culture of collaboration, based on respect and integrity. We want each individual employee to own their career, as part of high-performing teams, and in the context of on-the-job and formal continuous development and training, as well as constructive feedback. We always strive to identify ways to improve what we do and how we do it, by asking questions, voicing opinions, exploring various approaches and staying connected with healthcare professionals, patients, academia and other key partners.

The Principal Scientist In Silico Biologics Design will provide world class expertise in machine learning to drive the establishment of robust in silico methodologies that integrates computational predictions with empirical laboratory data to revolutionise the design of our class-leading T-cell receptor (TCR) drugs. Using our wealth of structural data, combined with further in-house and public domain data sets, the successful applicant will develop ML algorithms to impact the design of future drugs. This is an exciting technology-focussed role so innovation, execution and collaboration are key factors for success. Working closely with the In Silico and automation teams within Protein Engineering, you will provide scientific and technical leadership relating to machine learning that will ultimately result in further progression of our growing pipeline of first-in-class drugs to benefit patients. With our successful launch in 2022, of the world's first TCR based medicine, KIMMTRAK, which is also the first launched treatment for any solid tumour, you will be joining us at the most exciting time in our history, and be part of a team that values innovation, trust and collaboration.

KEY RESPONSIBILITIES

* To develop and assess advanced machine learning (ML) models for novel antibody and TCR drug candidate optimisation and, looking to impact de novo drug design in the future

* Utilise our extensive in-house structural and specificity data sets to extract further value

* Work with colleagues across Research to identify training data from the public domain and help shape the development of our in-house data sets to support the optimisation of ML algorithms

* Drive the establishment of virtual screening tools including:

o Protein structure prediction

o Affinity prediction

o Peptide human leukocyte antigen (pHLA) specificity prediction

o Developability prediction

* Assist with TCR library design for multifactorial lead optimisation

* Work with interdisciplinary teams across structural biology, next-generation sequencing (NGS), and bioinformatics and data science to integrate machine learning into TCR discovery and optimisation.

* Work with scientists to validate and integrate new methodologies into existing architecture.

* Promote utilisation of ML algorithms among colleagues and mentor and train others in their deployment

* Present research outcomes at all levels, including Protein Engineering lab meetings, Research leadership team meetings, other governance meetings and at external conferences

PERSON SPECIFICATION

Experience & knowledge

Essential

* Demonstrated ability to build and evaluate machine learning models

* At least 8 years of experience in antibody, TCR or biologics design, evidenced by a strong publication record.

* Proficiency with protein ML models such as AlphaFold, ESMFold, RFdiffusion, MPNN

* Advanced Python programming skills, focusing on data science and machine learning.

* Managed sizeable research projects, understanding the wider implications of project outcomes and strategic objectives.

* Demonstrates effective coaching skills and brings vision and strategy to life for others.

* Exceptional communication skills.

* Demonstrated ability to build and sustain networks and external collaboration with scientific leaders in the field.

Desirable

* Expertise in structural biology and modelling

* Experience in NGS analysis.

* Experience with biologics data management software including Genedata and in handling and integrating large-scale biological datasets from different sources.

* Familiarity with deploying and managing computational workflows on cloud platforms (e.g. AWS)

Education & qualifications

* PhD in Computational Biology, Computational Chemistry, Bioinformatics, or related discipline.

為防止簡歷投遞丟失請抄送一份至:boshijob@126.com(郵件標題格式:應聘職位名稱+姓名+學歷+專業+中國博士人才網)

中國-博士人才網發布

聲明提示:凡本網注明“來源:XXX”的文/圖等稿件,本網轉載出于傳遞更多信息及方便產業探討之目的,并不意味著本站贊同其觀點或證實其內容的真實性,文章內容僅供參考。

欧美另类激情_日本三级视频在线播放_中文字幕在线不卡_国产高清视频在线播放www色

      
      

          91免费精品国自产拍在线不卡| 日日夜夜免费精品| 九九国产精品视频| 亚洲自拍偷拍麻豆| 一区二区在线观看视频在线观看| 91亚洲精品一区二区乱码| 激情文学综合丁香| 激情伊人五月天久久综合| 免费欧美日韩国产三级电影| 五月天亚洲精品| 丝袜美腿亚洲色图| 丝袜诱惑亚洲看片| 亚洲国产精品影院| 丝瓜av网站精品一区二区| 日精品一区二区| 日韩 欧美一区二区三区| 视频一区国产视频| 久久se精品一区二区| 国产精品88av| 91女人视频在线观看| 欧美色倩网站大全免费| 欧美日韩高清一区二区三区| 日韩视频免费观看高清在线视频| 成人精品视频.| 成人午夜视频福利| 在线影视一区二区三区| 欧美日韩精品是欧美日韩精品| 精品一区二区三区免费毛片爱| 国产精品伦一区| 日韩美女视频19| 亚洲成人久久影院| 国产一区91精品张津瑜| 岛国精品在线播放| 欧美在线制服丝袜| 久久亚洲精品国产精品紫薇| 亚洲欧洲日本在线| 视频一区视频二区中文| 国产成人精品综合在线观看| 色94色欧美sute亚洲线路一久| 久久成人免费网站| 丰满少妇在线播放bd日韩电影| 日本视频一区二区三区| 欧美高清在线精品一区| 亚洲乱码国产乱码精品精98午夜| 国产精品无遮挡| 亚洲高清不卡在线| 成人美女视频在线看| 欧美二区乱c少妇| 国产精品不卡视频| 肉丝袜脚交视频一区二区| 国产精品一卡二| 欧美日韩国产大片| 国产精品国产a| 激情成人午夜视频| 欧美日韩亚洲国产综合| 中文字幕亚洲欧美在线不卡| 久久99久久久久| 欧美亚洲国产一区二区三区| 欧美激情在线看| 另类欧美日韩国产在线| 在线观看av一区| 国产精品久久三区| 国产福利不卡视频| 精品处破学生在线二十三| 亚洲成人你懂的| 丁香婷婷深情五月亚洲| 欧美精品一区二区三区高清aⅴ | 欧美午夜视频网站| 国产日韩欧美一区二区三区综合| 7777精品伊人久久久大香线蕉经典版下载| 福利91精品一区二区三区| 欧美日韩激情在线| 国产精品成人免费| 国内精品国产成人国产三级粉色| 精品一区二区日韩| 欧美男同性恋视频网站| 亚洲视频免费观看| 成人av在线影院| 国产欧美一区二区三区在线老狼| 国产欧美一区二区三区沐欲| 蜜臀va亚洲va欧美va天堂 | 男人的j进女人的j一区| 91麻豆123| 亚洲美女少妇撒尿| 北条麻妃一区二区三区| 欧美α欧美αv大片| 免费在线观看日韩欧美| 日韩一级精品视频在线观看| 男男视频亚洲欧美| 欧美成人女星排行榜| 日本亚洲视频在线| 精品电影一区二区三区| 看电影不卡的网站| 欧美xxxxxxxxx| 国产福利精品一区二区| 欧美激情在线观看视频免费| www.av精品| 亚洲一区二区免费视频| 欧美高清视频一二三区 | 精品国产凹凸成av人导航| 婷婷综合在线观看| 欧美日韩另类一区| 卡一卡二国产精品| 久久女同互慰一区二区三区| 国产99久久久精品| 久久婷婷色综合| 亚洲色大成网站www久久九九| 精品福利在线导航| 日本伊人色综合网| 欧美日韩不卡一区二区| 亚洲国产中文字幕在线视频综合 | 国产欧美一区在线| 久久国产麻豆精品| 久久网站热最新地址| 国产成人精品网址| 亚洲女女做受ⅹxx高潮| 欧美色中文字幕| 美国毛片一区二区三区| 久久久久久久久蜜桃| 国内精品国产成人国产三级粉色| 色综合咪咪久久| 成人免费在线播放视频| 欧美日本在线视频| 国模套图日韩精品一区二区| 国产精品久久久久国产精品日日| 日本不卡视频在线观看| 26uuu亚洲综合色| 日本韩国欧美一区| 亚洲成av人片在www色猫咪| 精品国产一区a| 成人国产精品视频| 亚洲国产精品久久艾草纯爱| 久久蜜桃av一区精品变态类天堂| 午夜激情久久久| 中文字幕精品综合| 亚洲欧美怡红院| 亚洲精品国产a久久久久久 | 日本一区二区不卡视频| 9191成人精品久久| 亚洲精品日日夜夜| 欧美一a一片一级一片| 亚洲成人1区2区| 成人午夜在线播放| 99久久精品国产麻豆演员表| 成人综合在线视频| 欧美tk丨vk视频| 日本美女一区二区| 精品久久久久av影院 | 亚洲成人一区在线| 亚洲午夜国产一区99re久久| 日韩精品一区二区三区在线播放| |精品福利一区二区三区| 欧美一区在线视频| 欧美日韩免费电影| 国产精品18久久久久久久久久久久 | 国产成a人无v码亚洲福利| 丝袜美腿亚洲色图| 亚洲免费三区一区二区| 国产欧美日韩精品在线| 精品动漫一区二区三区在线观看| 国产精品亚洲专一区二区三区| 精品va天堂亚洲国产| 欧美精品日韩精品| 欧美日韩国产一区| 91在线国内视频| aaa国产一区| 99精品久久久久久| 91麻豆国产精品久久| av亚洲精华国产精华精华| 丁香啪啪综合成人亚洲小说| 国产综合色在线视频区| 久久se这里有精品| 国产一区二区三区美女| 激情综合色综合久久| 国内一区二区视频| 成人免费毛片高清视频| 91丝袜呻吟高潮美腿白嫩在线观看| 午夜精品久久久久久久久久久 | 精品国产髙清在线看国产毛片| 国产一区二区毛片| 国产一区二区三区久久悠悠色av| 国产精品国产三级国产aⅴ入口| 在线观看不卡一区| 91久久线看在观草草青青| 色一区在线观看| 久久精品一二三| 精品国产免费人成电影在线观看四季| 成人v精品蜜桃久久一区| 成人黄色777网| 99视频热这里只有精品免费| 欧美中文字幕久久| 91精品国产91热久久久做人人| 成人av集中营| 91亚洲精品久久久蜜桃网站| 在线观看国产日韩| 日韩欧美中文字幕公布| 国产区在线观看成人精品| 一区二区三区中文字幕精品精品| 久久综合色综合88| 国产色产综合产在线视频|